Outcomes of High-Risk Pregnancies in Northern Iran: Multivariate Logistic Regression Model
محل انتشار: مجله علوم پزشکی ایران، دوره: 3، شماره: 4
سال انتشار: 1394
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 67
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شناسه ملی سند علمی:
JR_JHES-3-4_005
تاریخ نمایه سازی: 8 آذر 1402
چکیده مقاله:
Abstract
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 ۸۰۳ 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 < ۰.۰۵ was considered significant.
Results: Mean ± SD, minimum and maximum age of participants were ۲۷.۰ ± ۶.۲, ۱۴ and ۴۴ years, respectively, ۲۶.۳% of which were urban residences. The frequency of adverse outcomes of pregnancy (stillbirth, abortion, and weight under ۲۵۰۰ g) was ۱۰.۸%. According to the multivariate logistic regression model, preeclampsia was significantly associated with adverse outcomes of high-risk pregnancy (Odds ratio = ۲.۷, ۹۵% confidence interval: ۱.۰۳-۷.۱۰).
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.
کلیدواژه ها:
نویسندگان
Mahmood Moosazadeh
Health Sciences Research Center, School of Health, Mazandaran University of Medical Sciences, Sari, Iran
Seyed Abdolhassan Naghibi
Department of Public Health, Health Sciences Research Center, School of Health, Mazandaran University of Medical Sciences, Sari, Iran
Soghra Khosravi
Student Research Committee, Mazandaran University of Medical Sciences, Sari, Iran
Mahdi Afshari
Department of Community Medicine, School of Medicine, Zabol University of Medical Sciences, Zabol, Iran
Roghaieh Afsargharehbagh
Urmia University of Medical Sciences, Urmia, Iran
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