Mediation of patience in relationship between attachment to God styles and mental health among students
Publish Year: 1395
نوع سند: مقاله ژورنالی
زبان: English
View: 123
This Paper With 7 Page And PDF Format Ready To Download
- Certificate
- من نویسنده این مقاله هستم
استخراج به نرم افزارهای پژوهشی:
شناسه ملی سند علمی:
JR_BEHAVS-10-3_008
تاریخ نمایه سازی: 28 مرداد 1402
Abstract:
Introduction: The present research was carried out in order to determine patience mediator role in relationship between attachment to God styles and mental healthcare among students.Method: To this end, ۳۵۰ students were chosen from University of Isfahan using clustered sampling method. In order to examine attachment styles, patience, and mental health, attachment to God Scale (Rowatt and Kirkpatrick), response to life events scale and General Health Questionnaire (GHQ) were administered on them respectively. Correlation coefficient, multivariate regression analysis, and path analysis were used.Results: The results came from these analyses indicated that there was relationship among attachment to God styles (secure, avoidant insecure, and insecure ambivalent) with patience and mental health and mental health might be forecast based on secure attachment and ambivalent insure attachment. Similarly, there was significant relationship among patience and mental health and patience forecast mental health .Conclusion: Attachment to god styles predicts mental health and based on results from path analysis, patience might mediate for effect of attachment to God styles to mental health.
Keywords:
Authors
jalil babapour
Department of psychology, University of Tabriz, Tabriz, Iran
porsharifi Hamid
Department of psychology, University of Tabriz, Tabriz, Iran
Bager Gobari Bonab
Department of psychology, University of Tehran, Tehran, Iran
Zeynab Khanjani
Department of psychology, University of Tabriz, Tabriz, Iran
mohsen bahrami
Department of psychology, Malayer Branch, Islamic Azad University, Malayer, Iran
مراجع و منابع این Paper:
لیست زیر مراجع و منابع استفاده شده در این Paper را نمایش می دهد. این مراجع به صورت کاملا ماشینی و بر اساس هوش مصنوعی استخراج شده اند و لذا ممکن است دارای اشکالاتی باشند که به مرور زمان دقت استخراج این محتوا افزایش می یابد. مراجعی که مقالات مربوط به آنها در سیویلیکا نمایه شده و پیدا شده اند، به خود Paper لینک شده اند :