Evidence map›Paper›PMID 34347870›Full record

ArticleInternational health2022

Mapping the prevalence and socioeconomic predictors of low birth weight among Bangladeshi newborns: evidence from the 2019 Multiple Indicator Cluster Survey.

Md Sabbir Ahmed

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Article in International health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

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13citing papers in PubMed
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3 · Its place in the literature

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13 citing papers in PubMed.

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  12. Marital Status, Father Acknowledgement, and Birth Outcomes: Does the Maternal Education Matter?International journal of environmental research and public health · 2023
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5 · Who and what money

Authors and funding

1 author.

Md Sabbir AhmedDepartment of Community Health and Hygiene, Faculty of Nutrition and Food Science, Patuakhali Science and Technology University, Dumki, Patuakhali-8602, Bangladesh.ORCID 0000-0002-7663-2181

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundLow birth weight (LBW) remains a global concern for childhood morbidity and mortality. This study examined the socioeconomic factors associated with LBW among Bangladeshi newborns and drew a district-level prevalence map.

methodsData were extracted from the 2019 Multiple Indicator Cluster Survey for Bangladesh. Multivariate logistic regression was used to identify the predictors of LBW.

resultsThe prevalence of LBW among Bangladeshi newborns was found to be 14.5%. Overall, the Eastern and South-Eastern regions had a higher burden of LBW. Mothers' educational status, mode of delivery, wealth index quintile of the household and area were identified as independent predictors of newborns' LBW. Mothers who completed primary and secondary education grades had a 1.6- and 1.3-fold higher possibility of having an LBW baby compared with those who completed higher secondary or higher educational grades (adjusted OR=1.62 and 1.32, 95% CI 1.21 to 2.18 and 1.06 to 1.65, respectively). Children belonging to the poorest households and residing in urban areas had a 1.4-fold higher likelihood of being LBW (p<0.05).

conclusionsThis study indicates that LBW is still highly prevalent in Bangladesh. Immediate public health action is required in the highly prevalent regions identified in this study.

Indexed as

Infant, Low Birth WeightMothersChildFemaleHumansInfant, NewbornPrevalenceRisk FactorsSocioeconomic FactorsBangladeshglobal healthlow birth weightnewborn

Identifiers

PMID34347870
PMCPMC9450642

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