The trend of marriage, childbearing, and divorce and its determinants of socio-economic factors on divorce in Yazd province ۲۰۱۶-۲۰۲۱: A cross-sectional study

سال انتشار: 1402
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 78

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شناسه ملی سند علمی:

JR_IJRM-21-8_006

تاریخ نمایه سازی: 22 مهر 1402

چکیده مقاله:

Background: In recent decades, family and their stability as an important social institution have changed significantly. Objective: This study aimed to investigate the marriage trends, childbearing, and divorce changes in Yazd province from ۲۰۱۶-۲۰۲۱ to estimate the effect of socioeconomic factors on divorce. Materials and Methods: Cross-sectional study was done in ۲ phases. In first phase, an ecological (time trend) was conducted to investigate the ۵ yr trend in the occurrence of marriage, childbearing, and divorce, as well as the factors affecting the occurrence of divorce in second phase. For second phase of study ۶۰۰ participants were selected. ۳۰۰ divorce and ۳۰۰ married applicants were chosen between ۲۰۱۶ and ۲۰۲۱. Binary logistic regression model was used to find the related factors affecting the occurrence of divorce. Results: The results showed a declining marriage (p = ۰.۰۵) and childbearing trend (p = ۰.۸۴), as well as an increasing trend in divorces (p = ۰.۰۲) in Yazd. Logistic regression analysis showed that college education (OR = ۰.۲۲, CI: ۰.۱۱۶-۰.۴۳۰, p < ۰.۰۰۱) and being self-employed (OR = ۰.۴۸, CI: ۰.۲۵۵-۰.۹۳۴, p = ۰.۰۳) could reduce the odds of divorce. In addition, nonresidents (OR = ۲.۱, CI: ۱.۳۱۴-۳.۵۶۲, p < ۰.۰۰۱), with > ۱۰-yr age differences (OR = ۳.۸, CI: ۱.۸۰۳-۸.۲۱۳, p < ۰.۰۰۱) or the woman being older than her husband (OR = ۳.۴, CI: ۱.۹۸۱-۵.۸۴۸, p < ۰.۰۰۱) could increase the odds of divorce. Conclusion: Our results confirmed that a combination of socioeconomic characteristics affects the stability of family institutions.

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نویسندگان

Nastaran Tavakolian

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.

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.

Farzan madadizadeh

Center for Healthcare Data Modeling, Departments of Biostatistics and Epidemiology, School of Public Health, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

Foroozandeh Kalantari

Deputy for Health Affairs, Shahid Sadoughi University of Medical Sciences, Yazd, Iran.

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