outcomes of high-risk pregnancies in northern iran: multivariate logistic regression model

Authors

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

abstract

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 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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Journal title:
iranian journal of health sciences

جلد ۳، شماره ۴، صفحات ۴۰-۴۶

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