Volume 3, Issue 4 (Autumn 2015)                   Iran J Health Sci 2015, 3(4): 40-46 | Back to browse issues page

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Moosazadeh M, Naghibi S A, Khosravi S, Afshari M, Afsargharehbagh R. Outcomes of High-Risk Pregnancies in Northern Iran: Multivariate Logistic Regression Model. Iran J Health Sci. 2015; 3 (4) :40-46
URL: http://jhs.mazums.ac.ir/article-1-341-en.html
Department of Public Health, Health Sciences Research Center, School of Health, Mazandaran University of Medical Sciences, Sari, Iran , anaghibi1345@yahoo.com
Abstract:   (2249 Views)

Background and purpose: High-risk pregnancy is referred to a situation in which mother, fetus or neonate are in higher risk of morbidity or mortality. Because of adverse outcomes of high-risk pregnancies, this study aims to determine these outcomes in the North of Iran. 
Materials and Methods: We recruited 803 urban and rural pregnant women in this crosssectional study via consensus method. Data were collected by a questionnaire and analyzed using descriptive statistics [mean, standard deviation (SD)], chi-square test and multivariate logistic regression model. All data analyses were performed using SPSS software and P < 0.05 was considered significant.
Results: Mean ± SD, minimum and maximum age of participants were 27.0 ± 6.2, 14 and 44 years, respectively, 26.3% of which were urban residences. The frequency of adverse outcomes of pregnancy (stillbirth, abortion, and weight under 2500 g) was 10.8%. According to the multivariate logistic regression model, preeclampsia was significantly associated with adverse outcomes of high-risk pregnancy (Odds ratio = 2.7, 95% confidence interval: 1.03-7.10).
Conclusion: Our study showed that preeclampsia during pregnancy is a predictive factor of adverse outcomes of pregnancy such as abortion, stillbirth, and low birth weight.

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Type of Study: Original Article | Subject: Epidemiology

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