Evidence map›Paper›PMID 41668069›Full record

ArticleBMC pediatrics2026

Influence of socioeconomic factors on maternal and child health outcomes in Bangladesh: evidence from the 2022 demographic and health survey.

Md Mamun Miah, Farjana Aktar, Md Sakawat Hossain, Kabir Hossain, Najma Begum

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Article in BMC pediatrics, 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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1 · What the graph read from it

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Md Mamun MiahDepartment of Statistics, Noakhali Science and Technology University, Noakhali, Sonapur, 3814, Bangladesh. mamun.stat@nstu.edu.bd.ORCID 0000-0001-9670-7964
Farjana AktarDepartment of Statistics, Noakhali Science and Technology University, Noakhali, Sonapur, 3814, Bangladesh.
Md Sakawat HossainDepartment of Statistics, Noakhali Science and Technology University, Noakhali, Sonapur, 3814, Bangladesh.
Kabir HossainDepartment of Statistics, Noakhali Science and Technology University, Noakhali, Sonapur, 3814, Bangladesh.
Najma BegumDepartment of Statistics, Noakhali Science and Technology University, Noakhali, Sonapur, 3814, Bangladesh.ORCID 0009-0005-3944-1692

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundChild stunting, maternal body mass index (BMI), and antenatal care (ANC) visits are key indicators of child and maternal health. The objective of this study was to investigate factors associated with these outcomes using the 2022 Bangladesh Demographic and Health Survey (BDHS).

methodsThe study comprised 8,784 ever-married women aged 15–49 and their children under 5 years. ANC visits were modelled using negative binomial regression, while Child stunting and maternal BMI were examined using multinomial logistic regression. Analyses were performed at the p < 0.05 significance level.

resultsChildren from rich families (AOR: 0.66) and those whose mothers had higher education (AOR: 0.57) were less likely to be severely stunted, whereas children in rural areas (AOR: 1.26) and in the Chattogram division (AOR: 1.40) had higher odds of severe stunting. Mothers from poor households and rural areas (AOR: 1.18) and those living in the Mymensingh (AOR: 1.73) or Rajshahi (AOR: 1.67) divisions had higher odds of being underweight than rich, urban mothers in Barisal. Mothers from middle and rich households were more likely to be overweight (AOR: 1.13, Rich: AOR: 1.56) or obese (AOR: 1.38, Rich: AOR: 2.77) than those from poor households, whereas rural women were less likely to be overweight (AOR: 0.72, 95% CI: 0.64–0.80) or obese (AOR: 0.78, 95% CI: 0.64–0.96) than urban women. Mothers from middle (IRR: 1.11) and rich households (IRR: 1.37) and those with secondary (IRR: 1.28) and higher education (IRR: 1.64) had higher rates of antenatal care visits, while rural residence (IRR: 0.88) and living in Sylhet (IRR: 0.89) were linked with lower visit rates. Mothers in Khulna (IRR: 1.07), Dhaka (IRR: 1.09), and Mymensingh (IRR: 1.06) had slightly higher ANC visit rates than those in Barisal.

conclusionMother’s education, wealth, and urban setting were positively associated with maternal BMI, child stunting, and ANC attendance. This highlights the need for targeted interventions to eliminate disparities in maternal and child health.

Indexed as

Child HealthGrowth DisordersMaternal HealthPrenatal CareSocioeconomic FactorsAdolescentAdultBangladeshBody Mass IndexChild, PreschoolFemaleHealth SurveysHumansInfantLogistic ModelsMiddle AgedAntenatal careChild malnutritionHealth inequitiesMaternal healthSocioeconomic determinants

Identifiers

PMID41668069
PMCPMC12990416

What Socratic holds

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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 Socratic graph.