Evidence map›Paper›PMID 40785446›Full record

ArticleWomen's health (London, England)

Determinants of cesarean section in urban areas of Bangladesh: Insights from the Bangladesh Demographic and Health Survey-2022.

Md Sazzad Hossan Sujon, Imran Hossain Sumon, Junayed Ahmmad, Md Shahanewaj Asif, Md Moyazzem Hossain

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In one paragraph

Article in Women's health (London, England). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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3citing papers in PubMed
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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Md Sazzad Hossan SujonDepartment of Statistics and Data Science, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Imran Hossain SumonDepartment of Statistics and Data Science, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Junayed AhmmadDepartment of Electrical & Electronic Engineering, Faculty of Engineering, Daffodil International University, Birulia, Savar, Dhaka, Bangladesh.
Md Shahanewaj AsifDepartment of Statistics and Data Science, Jahangirnagar University, Savar, Dhaka, Bangladesh.
Md Moyazzem HossainDepartment of Statistics and Data Science, Jahangirnagar University, Savar, Dhaka, Bangladesh.ORCID 0000-0003-3593-6936

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCesarean section delivery is a surgical way to safeguard maternal and neonatal health when medical risk is associated with delivering babies. Its rates have been increasing globally over the past few decades, with a significant rise recorded in low- and middle-income countries, which leads cesarean section to crucial public health concerns due to unnecessary surgical interventions and associated risks for maternal and neonatal.

objectivesThis study aims to identify the socioeconomic and demographic determinants contributing to the higher likelihood of cesarean section deliveries among Bangladeshi mothers residing in urban areas.

designThe initial survey employed a cross-sectional design to collect data.

methodsThis research examined the Bangladesh Demographic and Health Survey (BDHS) dataset to identify the cesarean section among urban mothers. It utilized the chi-square test to measure associations, the Boruta algorithm, and a multivariable logistic regression model with a forest plot.

resultsThe study pointed out that urban mothers belonging in richer and richest families (adjusted odds ratio: 2.83, 95% confidence interval: 1.88-4.26 and adjusted odds ratio: 4.79, 95% confidence interval: 3.13-7.34) and higher educational attainment (adjusted odds ratio: 1.89, 95% confidence interval: 1.20-2.99) are significantly correlated with cesarean section. Divisional differences are also robust with the significance of Sylhet (adjusted odds ratio: 0.23, 95% confidence interval: 0.12-0.47) and Chottogram (adjusted odds ratio: 0.50, 95% confidence interval: 0.30-0.83) divisions. Media exposure (adjusted odds ratio: 1.54, 95% confidence interval: 1.27-1.87) and mothers gave birth at the age 20-24 and 25-34 (adjusted odds ratio: 1.67, 95% confidence interval: 1.31-2.14 and adjusted odds ratio: 3.15, 95% confidence interval: 2.03-4.89) are also highly significantly associated with the likelihood of cesarean section. Moreover, mothers working status (adjusted odds ratio: 0.53, 95% confidence interval: 0.43-0.65) and religion (adjusted odds ratio: 2.33, 95% confidence interval: 1.60-3.38) are also correlated with cesarean section.

conclusionThe study reveals socioeconomic and sociodemographic reasons associated with the increase in cesarean section rates among urban mothers in Bangladesh, highlighting the need for targeted interventions to mitigate cesarean section rates and improve maternal and neonatal health.

Indexed as

Cesarean SectionUrban PopulationAdolescentAdultBangladeshCross-Sectional StudiesFemaleHealth SurveysHumansMothersPregnancySocioeconomic FactorsYoung AdultBangladeshcesarean deliveryrisk factorsurban areas

Identifiers

PMID40785446
PMCPMC12340205

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.