Evidence map›Paper›PMID 40267061›Full record

ArticlePloS one2025

Prevalence and associated factors of antenatal depression in rural Bangladesh.

Rifa Tamanna Mumu, Dipak Kumar Mitra, Md Parvez Shaikh

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Article in PloS one, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Rifa Tamanna MumuDepartment of Public Health, School of Health and Life Science, North South University, Bashundhara, Dhaka, Bangladesh.ORCID 0009-0004-2912-5621
Dipak Kumar MitraDepartment of Public Health, School of Health and Life Science, North South University, Bashundhara, Dhaka, Bangladesh.
Md Parvez ShaikhDepartment of Industrial & Production Engineering, Shahjalal University of Science and Technology, Sylhet, Bangladesh.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAccording to the World Health Organization (WHO), approximately 322 million individuals all over the world suffered from depressive disorders in 2015. The risk of depression increases in pregnancy due to certain hormonal changes in the body. Despite the severe impacts of antenatal depression on both maternal and infant health, research on this issue remains limited in Bangladesh.

objectiveTo identify the prevalence and associated factors of antenatal depression in rural Bangladesh.

methodA cross-sectional study was conducted from January 08 to January 14, 2024, in Lohagara, a rural subdistrict of Narail in southern Bangladesh. The study recruited 350 pregnant women in different trimesters who attended antenatal checkups at a government health complex and a private hospital. Data was collected by face-to-face interviews using the Bengali-translated version of the Edinburgh Postnatal Depression Scale (EPDS) and another structured questionnaire. Pearson's chi-square test, bivariate, and multivariate logistic regression were conducted to identify associated factors. Data were analyzed using STATA version 14.

resultThe point prevalence of antenatal depression was 39% (38.9%, 95% CI = 33.9% to 44%). Gestational week (AOR = 0.4, 95% CI = 0.2, 0.8), unintended pregnancy (AOR = 1.7, 95% CI = 1, 3), intimate partner violence (AOR = 3.3, 95% CI = 1.1, 9.7), a history of previous diseases (AOR = 2.4, 95% CI = 1.1, 5.2), and having polygamous husbands (AOR = 13.6, 95% CI = 1.1, 164) were found significantly associated with the development of depression in pregnancy.

conclusionThe high prevalence of prenatal depression in rural Bangladesh highlights the urgent need for effective intervention. Raising awareness among healthcare professionals and families of pregnant women is essential to reducing its impact. Strategic planning and policymaking are necessary to address underlying social issues such as polygamy and intimate partner violence. Additionally, providing enhanced counseling and care for women with unplanned pregnancies or pre-existing health conditions is crucial for improving maternal mental well-being.

Indexed as

DepressionPregnancy ComplicationsAdolescentAdultBangladeshCross-Sectional StudiesFemaleHumansPregnancyPregnancy, UnplannedPrenatal CarePrevalenceRisk FactorsRural PopulationYoung Adult

Identifiers

PMID40267061
PMCPMC12017481

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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.