Associations between childhood malnutrition, socioeconomic inequalities and sanitation in the coastal regions of Bangladesh

dc.contributor.authorMondal, Shuvagatoen
dc.contributor.authorWangdi, Kinleyen
dc.contributor.authorGray, Darren J.en
dc.contributor.authorKelly, Matthewen
dc.contributor.authorSarma, Haribondhuen
dc.date.accessioned2026-05-09T08:41:57Z
dc.date.available2026-05-09T08:41:57Z
dc.date.issued2024en
dc.description.abstractThis study aimed to identify critical risk factors for childhood malnutrition and inform targeted interventions. Childhood malnutrition remains a pressing concern in the coastal regions of Bangladesh. Data were extracted from the latest Bangladesh Demographic and Health Survey 2017–2018 and children aged 0–59 months and their mothers aged 15–49 years from 17 coastal districts were included as study population in this study. We performed multivariable logistic regression model to determine the risk factors and a total 2153 children were eligible for the analysis. Stunting, wasting and underweight prevalence was 31.4%, 8.5% and 21.1% respectively. Stunting was more common in children aged 24–35 months with compared to their younger counterparts [adjusted odds ratio (AOR) = 3.32, 95% confidence interval (CI): 2.35–4.67]. Children to mothers with higher education exhibited 69% (AOR = 0.31, 95% CI: 0.18–0.52) lower risk of stunting compared to those with no education. Similarly, children in poorest and poorer households had 2.2 and 1.83 times higher odds of stunting respectively than those in the richest households. Children born to obese mothers (compared to normal) were 34% less likely to be stunted (AOR = 0.66, 95% CI: 0.51–0.85). Children who had fever and underweight mothers reported wasting. Increasing child age, low maternal education, poorest wealth index, unimproved toilet facilities and childhood morbidity were identified as significant risk factors for underweight. Results support the requirement of effective and appropriate interventions for this particular region considering the identified risk factors to reduce childhood malnutrition in Bangladesh.en
dc.description.sponsorshipThe authors would like to acknowledge the Australian National University for University Research Scholarship with HDR Fee Merit Scholarship and Measure DHS for getting access to the BDHS-2018 dataset. Kinley Wangdi is funded by Australian National Health and Medical Research Council Investigator Grants (2008697).en
dc.description.statusPeer-revieweden
dc.identifier.issn1742-7622en
dc.identifier.otherORCID:/0000-0001-7963-2139/work/213944244en
dc.identifier.otherORCID:/0000-0003-1553-8498/work/213946059en
dc.identifier.scopus105001548437en
dc.identifier.urihttps://hdl.handle.net/1885/733808988
dc.language.isoenen
dc.rightsPublisher Copyright: © The Author(s) 2024.en
dc.sourceDiscover public healthen
dc.subjectBangladeshen
dc.subjectCoastalen
dc.subjectMalnutritionen
dc.subjectSocioeconomicen
dc.subjectStuntingen
dc.subjectUnderweighten
dc.subjectWastingen
dc.titleAssociations between childhood malnutrition, socioeconomic inequalities and sanitation in the coastal regions of Bangladeshen
dc.typeJournal articleen
dspace.entity.typePublicationen
local.contributor.affiliationMondal, Shuvagato; The Australian National Universityen
local.contributor.affiliationWangdi, Kinley; National Centre for Epidemiology and Population Health, ANU College of Law, Governance and Policy, The Australian National Universityen
local.contributor.affiliationGray, Darren J.; National Centre for Epidemiology and Population Health, ANU College of Law, Governance and Policy, The Australian National Universityen
local.contributor.affiliationKelly, Matthew; National Centre for Epidemiology and Population Health, ANU College of Law, Governance and Policy, The Australian National Universityen
local.contributor.affiliationSarma, Haribondhu; National Centre for Epidemiology and Population Health, ANU College of Law, Governance and Policy, The Australian National Universityen
local.identifier.citationvolume21en
local.identifier.doi10.1186/s12982-024-00126-9en
local.identifier.pure44a709dd-48c4-4c93-a5bf-135e98cf681cen
local.identifier.urlhttps://www.scopus.com/pages/publications/105001548437en
local.type.statusPublisheden

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