- Original Article
- Factors Associated with Cesarean Section in Tehran, Iran using Multilevel Logistic Regression Model
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Payam Amini, Maryam Mohammadi, Reza Omani-Samani, Amir Almasi-Hashiani, Saman Maroufizadeh
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Osong Public Health Res Perspect. 2018;9(2):86-92. Published online April 30, 2018
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Objectives
Over the past few decades, the prevalence of cesarean sections (CS) have risen dramatically worldwide, particularly in Iran. The aim of this study was to determine the prevalence of CS in Tehran, and to examine the associated risk factors.
Methods
A cross-sectional study of 4,308 pregnant women with singleton live-births in Tehran, Iran, between July 6–21, 2015 was performed. Multilevel logistic regression... |
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- Prevalence and Determinants of Preterm Birth in Tehran, Iran: A Comparison between Logistic Regression and Decision Tree Methods
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Payam Amini, Saman Maroufizadeh, Reza Omani Samani, Omid Hamidi, Mahdi Sepidarkish
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Osong Public Health Res Perspect. 2017;8(3):195-200. Published online June 30, 2017
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Objectives Preterm birth (PTB) is a leading cause of neonatal death and the second biggest cause of death in children under five years of age. The objective of this study was to determine the prevalence of PTB and its associated factors using logistic regression and decision tree classification methods. MethodsThis cross-sectional study was conducted on 4,415 pregnant women in Tehran, Iran, from... |
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