Predictors of the first marriage longevity of divorced women with children

سال انتشار: 1404
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 12

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شناسه ملی سند علمی:

JR_JOBJ-13-2_006

تاریخ نمایه سازی: 17 بهمن 1404

چکیده مقاله:

Background: Divorce, as an important social harm, is associated with anxiety, fear, and feelings of helplessness and loneliness, leading to changes in behavior, financial status, and lifestyle, has always been the focus of investigators and policymakers. Since women are more affected by divorce than men, and children also play a decisive role in divorce decisions, the purpose of this article was to study the marital durability of women with children based on selected covariates. Methods: The current study is a secondary analysis of the divorce survey data conducted by the National Organization for Civil Registration in ۲۰۱۶-۲۰۱۷. Information was collected through questionnaires from ۷۵۶ women who had filed for divorce at divorce registration offices. An unshared frailty survival model was applied for analyzing this data using SAS software. Results: In this study, ۲۹.۵%, ۵۲.۹%, and ۱۱.۸% of women had ۱, ۲, and ۳ or more children, and the first marriage longevity (FML) medians among these women were ۱۵۰.۴۵, ۲۲۱.۱۳, and ۳۴۳.۲۰ months, respectively. An unshared Gamma frailty Weibull model was selected as the final model for analyzing the data. The variables of the human development index (AF=۰.۳۱۲), women’s and their spouses’ marriage age (AF=۰.۹۸۵, ۰.۹۹۲), the first child’s age (AF=۰.۹۳۸), educational years (AF=۱.۱۲۱), number of children (AF=۱.۰۳), number of spouse's siblings (AF=۱.۰۱۸), father's survival status (AF=۰.۹۶۳), and child’s custody status (AF=۱.۰۹۳) were found to significantly affect the FML of these women. Conclusion: Based on the results, children can play positive or negative roles in women’s divorce; as the number of children increased, women’s FML also increased. On the other hand, as the age of women’s first child increased, the divorce risk also increased.

نویسندگان

Mahsa Saadati

Department of Statistical Methods and Demographic Modelling, National Institute for Population Research, Tehran, Iran

Arezoo Bagheri

Department of Statistical Methods and Demographic Modelling, National Institute for Population Research, Tehran, Iran

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