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JCR 2016
جستجوی مقالات
شنبه 25 بهمن 1404
Medical Journal of Islamic Republic of Iran
، جلد ۳۵، شماره ۱، صفحات ۲۸۹-۲۹۶
عنوان فارسی
چکیده فارسی مقاله
کلیدواژههای فارسی مقاله
عنوان انگلیسی
Investigating the effect of behavioral and demographic characteristics of Iranian women on the number of children ever born
چکیده انگلیسی مقاله
Background: The number of children ever born (CEB) to a woman, as an index of her fertility behavior, are interesting for the governments and demographer policymakers. In recent years, a notable reduction of fertility and population aging in Iran has caused concern among politicians, and it has led to starting new changes in demographic policies. Therefore, to adopting new demographic and health policies programs, identification of factors that affecting CEB is essential. Methods: To evaluate determinant factors on CEB, information of 20093 married Iranian women aged between 15 and 54 years has been analyzed from the Iranian National Institute of Health Research survey. Based on the structure of data and the possible influential unobserved population heterogeneity on CEB in each city and province, a multilevel count regression model was applied. The analysis was performed using the 'R' software (version 3.5) with a significant level of 0.05. Results: Findings show that the mean and median number of CEB was 2.82 and 2.00 for all women, respectively. Meanwhile, these values were 4.56 and 4.00 for the women who reached menopause. There was a significant unobserved heterogeneity affecting CEB in each province (σp=0.018). Also, the results of the multilevel model show that living in an urban area (RR=0.90), higher age at first marriage (RR=0.96), higher education (RR=0.84, RR=0.81), and exposure to mass media (RR=0.87) decrease the risk ratio of the number of CEB (p < 0.001). Conclusion: It seems that the tendency of women to academic education and their access to mass media has a significant effect on reducing childbearing. Therefore, in future planning, attention to these two factors can be useful and helpful to move to increase fertility.
کلیدواژههای انگلیسی مقاله
Fertility, Multilevel Analysis, Count Response, Children ever Born
نویسندگان مقاله
| Maryam Seyedtabib
Department of Biostatistics & Epidemiology, School of Public Health, Hamadan University of Medical Sciences, Hamadan, Iran
| Hossein Mahjub
Department of Biostatistics & Epidemiology, School of Public Health and Research Center for Health Sciences, Hamadan University of Medical Sciences, Hamadan, Iran
| Mahmood Mahmoudi
Department of Health Services, Science and Research Branch, Islamic Azad University, Tehran, Iran
| Abbas Moghimbeigi
Department of Biostatistics and Epidemiology, School of Health, Research Center for Health, Safety and Environment, Alborz University of Medical Sciences, Karaj, Iran
نشانی اینترنتی
http://mjiri.iums.ac.ir/browse.php?a_code=A-10-6404-1&slc_lang=en&sid=1
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کد مقاله (doi)
زبان مقاله منتشر شده
en
موضوعات مقاله منتشر شده
Biostatistics and Epidemiology
نوع مقاله منتشر شده
Original Research
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