Identifying Factors Related to Divorce in Iranian Couples: A Case Study in Yazd, Iran

Publish Year: 1402
نوع سند: مقاله ژورنالی
زبان: English
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شناسه ملی سند علمی:

JR_JCHR-12-2_007

تاریخ نمایه سازی: 21 اسفند 1402

Abstract:

Background: Divorce is one of the most damaging social issues. Since the divorce rates are increasing rapidly, the current study evaluated the effects of factors leading to divorce.  Methods: In this qualitative study, by using two-stage sampling method (purposive and snowball) ۴ couples on the verge of divorce visiting consulting center and ۸ experts with experience in the field of family and divorce in Yazd city were selected. Semi-structured interviews were used for data collection. The contents of the interviews were transcribed verbatim and analyzed using a content analysis method. Results: The experts who participated in this study included several marriage and divorce registrars, lawyers, and family counselors with over ۱۰ years of experience in the field of family and divorce. The mean age of women on the verge of divorce was ۳۳ ± ۸.۵۱ years and for men ۳۷.۲ ± ۶.۱۳ years. Fifty percent of the couples had a bachelor's degree and ۶۲.۵% of them were self-employed. Most of them had a marriage period of ۵-۱۰ years. A total of ۲۳ codes were extracted from the interviews. The codes were organized into four main themes. Major topics included lack of preparation for marriage, psychological factors, unfavorable marital relationships, and social factors. Conclusion: The interference of families, extramarital relationships, early marriage and the lack of communication skills and media literacy are the most influential factors of divorce.

Authors

Nastaran Tavakolian

Center for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School of public health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

Farzan Madadizadeh

Center for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School of public health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

Moslem Taheri Soodejani

Center for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School of public health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

Mohammad Hassan Lotfi

Center for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School of public health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran

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