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KMID : 1120220180090020086
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Osong Public Health and Research Perspectives
2018 Volume.9 No. 2 p.86 ~ p.92
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Factors Associated with Cesarean Section in Tehran, Iran using Multilevel Logistic Regression Model
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Amini Payam
Mohammadi Maryam
Omani-Samani Reza
Almasi-Hashiani Amir
Maroufizadeh Saman
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Abstract
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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 analysis was performed using demographic and obstetrical variables at the first level, and hospitals as a variable at the second level.
Results: The incidence of CS was 72.0%. Multivariate analysis showed a significant relationship between CS and the mother’s age, socioeconomic status, body mass index, parity, type of pregnancy, preeclampsia, infant height, and baby’s head circumference. The intra-class correlation using the second level variable, the hospital was 0.292, indicating approximately 29.2% of the total variation in the response variable accounted for by the hospital.
Conclusion: The incidence of CS was substantially higher than other countries. Therefore, educational and psychological interventions are necessary to reduce CS rates amongst pregnant Iranian women.
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KEYWORD
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cesarean section, Iran, logistic models, pregnancy
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