Evidence map›Paper›PMID 42032535›Full record

ArticleBMC public health2026

Factors associated with normal childbirth in Bangladesh: insights from BDHS 2022.

Sharmin Akther, Mariam Tonni, Shajid Ahmed, Md Al-Mamun

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Article in BMC public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Sharmin AktherDepartment of Statistics and Data Science, Jahangirnagar University, Dhaka, Bangladesh. sharminakther12.ju@gmail.com.ORCID 0009-0008-6664-5932
Mariam TonniDepartment of Statistics and Data Science, Jahangirnagar University, Dhaka, Bangladesh.ORCID 0009-0004-6766-4378
Shajid AhmedDepartment of Statistics and Data Science, Jahangirnagar University, Dhaka, Bangladesh.ORCID 0009-0007-2514-7390
Md Al-MamunMultidisciplinary Action Research (MARS) Lab, Department of Computer Science and Engineering, Daffodil International University, Dhaka, Bangladesh. almamun.cse@diu.edu.bd.ORCID 0009-0001-8131-5762

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe mode of childbirth has severe consequences on maternal and neonatal outcomes. Although the number of cesarean births has grown all over the world, the reasons that make normal vaginal delivery (NVD) a good choice in Bangladesh are under-researched. This research paper analyzes socio-demographic, obstetric, and medical factors that influence NVD to develop specific interventions that can lead to safer and more physiological deliveries.

methodData were extracted using 5,006(weighted) ever-married women aged between 15–49 years with live birth within 2 years before the Bangladesh Demographic and Health Survey (BDHS) 2022. Bivariate screening was done using Rao-Scott adjusted chi-square tests, and multivariable binary logistic regression was also done to estimate adjusted odds ratios (AORs) with 95% confidence interval (CI). The Hosmer–Lemeshow test and the variance inflation factors were used to measure the model fit and multicollinearity.

resultOverall, 55.34% of women gave birth normally through vaginal delivery, and 44.66% gave birth through cesarean section. On adjustment, older maternal age was related to decreased odds of normal vaginal birth; women aged 25–34 (AOR = 0.77; 95% CI: 0.62–0.95) and 35–44 years (AOR = 0.53; 95% CI: 0.35–0.79) had lower odds than women aged 15–24 years. Women in Chittagong (AOR = 2.42; 95% CI: 1.63–3.59) and Sylhet (AOR = 2.26; 95% CI: 1.39–3.65) had significantly higher odds of normal vaginal delivery than women in Barisal. Women who were employed were more likely to deliver normally than unemployed women (AOR = 0.77; 95% CI: 0.63–0.94). On the other hand, women in the top wealth quintile (AOR = 0.52, 95% CI: 0.32–0.86) and those with two or more visits to antenatal care were found to have much lower odds of normal vaginal birth. The facility-based delivery was mainly linked to cesarean section.

conclusionNormal vaginal birth in Bangladesh is associated with younger age, certain areas, employment, poverty, reduced ANC usage, and home births. Emerging requirement: evidence-based facility practice and equity to reduce the unnecessary cesareans.

Indexed as

Delivery, ObstetricParturitionAdolescentAdultBangladeshCesarean SectionFemaleHealth SurveysHumansMaternal AgeMiddle AgedPregnancySociodemographic FactorsSocioeconomic FactorsYoung AdultAntenatal careMultivariable Logistic regression analysisNormal vaginal deliverySocio-demographic factorsSocioeconomic status

Identifiers

PMID42032535
PMCPMC13248280

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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.