درخت حوزه‌های تخصصی

Objective: This study aimed to evaluate the effectiveness of self-compassion training on reducing loneliness and improving health-related quality of life in infertile women. Methods: A randomized controlled trial design was used, involving 30 infertile women recruited from a specialized infertility treatment center. Participants were randomly assigned to an experimental group (n = 15) receiving eight sessions of self-compassion training or a control group (n = 15) with no intervention. Assessments were conducted at baseline, post-intervention, and at a five-month follow-up using the Loneliness Questionnaire and the Health-Related Quality of Life Questionnaire. Data were analyzed using repeated measures ANOVA and Bonferroni post-hoc tests. Findings: The experimental group showed significant reductions in loneliness from pre-test (M = 45.32, SD = 6.45) to post-test (M = 30.21, SD = 5.28) and follow-up (M = 31.12, SD = 5.34), while the control group remained stable. Health-related quality of life significantly improved in the experimental group from pre-test (M = 62.45, SD = 7.34) to post-test (M = 78.53, SD = 6.78) and follow-up (M = 77.95, SD = 6.65), with minimal changes in the control group. ANOVA results indicated significant time and group interactions for both loneliness (F(2, 56) = 67.03, p < .001, η² = .71) and health-related quality of life (F(2, 56) = 113.20, p < .001, η² = .80). Conclusion: Self-compassion training is effective in reducing loneliness and improving health-related quality of life in infertile women. These benefits were sustained at the five-month follow-up, highlighting the long-term potential of self-compassion interventions in supporting the psychological well-being of infertile women.

Objective: The objective of the present study was to predict marital satisfaction in married women based on cognitive emotion regulation strategies with the mediating role of resilience. Methods: This descriptive-correlational study employed a structural equation modeling approach. The statistical population included all married women experiencing marital conflict who visited clinics and counseling centers in District 5 of Tehran in 2021. From this population, 250 women were selected using a non-random, convenience sampling method. Data were collected using the Sanaei Marital Conflict Questionnaire (1998), the ENRICH Marital Satisfaction Scale (1981), the Garnefski and Kraaij Cognitive Emotion Regulation Questionnaire (2006), and the Connor-Davidson Resilience Scale (2003). The data were analyzed using correlation tests and structural equation modeling. Findings: The results indicated a positive and significant relationship between cognitive emotion regulation strategies and resilience with marital satisfaction (P < 0.01). The findings supported the mediating role of resilience in the relationship between cognitive emotion regulation strategies and marital satisfaction in married women experiencing marital conflict (P < 0.01). Additionally, the modified model showed a good fit. Conclusion: The results demonstrated that resilience and cognitive emotion regulation strategies play an important role in marital satisfaction. It is essential to consider these critical variables in counseling programs for women experiencing marital conflict.

Objective: This research was conducted to study the role of sleep quality moderators in the relationship between depression and treatment compliance.   Method : The research design was descriptive and correlational, and the research population included all patients with multiple sclerosis living in Tehran. 229 subjects with Multiple Sclerosis were selected in a convenient method, and they were asked to answer Morinsky's treatment compliance, Petersburg sleep quality, and Beck's depression questionnaires using the pencil and paper method. Results : Evidence of the predictive role of depressive symptoms for poor adherence to treatment in patients with multiple sclerosis was found. In addition, evidence of the predictive role of sleep quality in treatment adherence was found, but its mediating role in the relationship between depression and treatment adherence was not found. Conclusion : The findings indicated the importance of depression symptoms and sleep quality in the treatment compliance of multiple sclerosis patients. Considering the importance of treatment compliance in the prognosis of the disease, it is suggested that doctors consider this issue to formulate treatment plans to target cognitive and emotional problems parallel to the main treatment of the disease and thereby increase treatment compliance.  

The current study examined the effectiveness of the educational Lego “More Math” on the mathematical progress, spatial understanding, working memory, and processing speed of students in female first grade of elementary school. female first-grade students. The research employed a quasi-experimental design incorporating a pre-test and post-test framework, with the inclusion of a control group. The population of this study consisted of female first-grade students studying in the schools of Tehran District 14 in the academic year 2022-2023. Among the available schools in District 14, Mihrab Girl’s Elementary School was selected as the sample. Then, 30 students were selected by convenience sampling and randomly assigned to the experimental (15 students) and control (15 students) groups. The data were collected by the Wechsler Intelligence Scale for Children, Fifth Edition (WISC-V), which consisted of ten sub-tests comprising five sub-scales for fluency, language comprehension, visual-spatial reasoning, processing speed, and working memory, and the teacher-made math test. The Lego More to Math educational protocol consisted of weekly training sessions over the course of 15 weeks, with each session lasting for 60 minutes. The data were analyzed using univariate and multivariate analyses of covariance by SPSS26.The analysis revealed significant differences between groups for spatial perception (F = 1.48, p = 0.00, η² = 0.36), working memory (F = 12.13, p = 0.00, η² = 0.32), processing speed (F = 18.16, p = 0.00, η² = 0.42), and math progress (F = 5.78, p = 0.00, η² = 0.29, test power = 0.9), with non-significant pre-test results (p = 0.88) and significant group differences (F = 11.36, p = 0.00). The study demonstrated that the Lego "More to Math" educational program significantly enhanced first graders' mathematical progress, spatial understanding, working memory, and processing speed. These findings suggested that incorporating structured, play-based learning tools like Lego into early education effectively boosted cognitive and mathematical skills in young students