Evidence map›Paper›PMID 40380292›Full record

ArticleJournal of health, population, and nutrition2025

Unveiling the sociodemographic and socioeconomic determinants of antenatal care utilization in Bangladesh: insights from the 2017-18 BDHS.

Md Mojammel Haque Sakib, Muhammad Khairul Alam, Nilufar Yasmin, Rumana Rois

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Article in Journal of health, population, and nutrition, 2025. 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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0cells of the map it votes in
3citing papers in PubMed
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1 · What the graph read from it

What it found

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3 · Its place in the literature

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3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Md Mojammel Haque SakibDepartment of Statistics and Data Science, Jahangirnagar University, Savar, Dhaka, 1342, Bangladesh. mhaqsakib@gmail.com.
Muhammad Khairul AlamDepartment of Statistics and Data Science, Jahangirnagar University, Savar, Dhaka, 1342, Bangladesh.
Nilufar YasminDepartment of Statistics and Data Science, Jahangirnagar University, Savar, Dhaka, 1342, Bangladesh.
Rumana RoisDepartment of Statistics and Data Science, Jahangirnagar University, Savar, Dhaka, 1342, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAntenatal care (ANC) is indispensable for supervising and enhancing the health of both the mother and the baby during pregnancy. It helps to reduce the risks of complications and ensures better pregnancy outcomes. This study investigates the aspects that influence antenatal care (ANC) visits in Bangladesh, focusing on sociodemographic and socioeconomic factors.

methodsThe study used nationally representative data from the 2017-18 Bangladesh Demographic and Health Survey. Mann-Whitney and Kruskal-Wallis tests were conducted for bivariate analysis. The Boruta algorithm was utilized for variable selection. After employing various regression models, including Poisson Regression, Negative Binomial Regression, Zero-inflated Poisson Regression, and Zero-inflated Negative Binomial Regression (ZINB), we evaluated their performance and selected Zero-inflated Negative Binomial Regression (ZINB) for parameter estimation and interpretation.

resultsOur results reveal that less than 50% of women meet the WHO-recommended minimum of four ANC visits. Rural women were 12% less likely than urban women to receive antenatal care (ANC) visits, indicating an urban-rural discrepancy. Women with secondary and higher education levels were significantly more likely to have frequent visits, with incidence rate ratios (IRRs) of 1.27 (95% CI: 1.14-1.42) and 1.34 (95% CI: 1.18-1.51), respectively. Similarly, women from households with rich wealth status (IRR: 1.14, 95% CI: 1.08-1.21) and those exposed to media coverage (IRR: 1.19, 95% CI: 1.14-1.25) were more likely to attend frequent ANC visits. Conversely, women with higher birth order (IRR: 0.95 & 0.84, 95% CI: 0.90-1.00 & 0.76-0.92), unintentional pregnancy (IRR: 0.91 & 0.83, 95% CI: 0.86-0.96 & 0.77-0.91) were less likely to have ANC visits.

conclusionThis study underscores a critical gap in ANC access, particularly among rural women, which poses challenges to achieving national and global maternal health targets. Addressing these disparities and making relevant policy implications such as expanding community-based ANC programs, integrating services into primary healthcare, and increasing awareness through mass media are required to enhance ANC accessibility and utilization in underserved populations.

Indexed as

Patient Acceptance of Health CarePrenatal CareAdolescentAdultBangladeshFemaleHealth SurveysHumansMiddle AgedPregnancyRural PopulationSociodemographic FactorsSocioeconomic FactorsUrban PopulationYoung AdultAntenatal care visitBangladesh demographic and health surveyMaternal healthNegative binomial regression

Identifiers

PMID40380292
PMCPMC12085037

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LicenceCC BY-NC-ND
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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.