Evidence map›Paper›PMID 39391893›Full record

ArticleJournal of global health2024

Geographical variation, socioeconomic inequalities of low birth weight, and its relationship with maternal dietary diversity: Insights from the maternal infant and young child nutrition programme in Bangladesh.

Md Tariqujjaman, Arifa F Tanha, Mahfuzur Rahman, Gobinda Karmakar, Mustafa Mahfuz, Md M Hasan, Ahmed E Rahman, Anisuddin Ahmed, Shams E Arifeen, Tahmeed Ahmed and 1 more

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Article in Journal of global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

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7citing 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

Who cites it

7 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Md TariqujjamanNutrition Research Division, icddr,b, Dhaka, Bangladesh.
Arifa F TanhaNutrition Research Division, icddr,b, Dhaka, Bangladesh.
Mahfuzur RahmanSchool of Health and Rehabilitation Sciences, The University of Queensland, Brisbane, Australia.
Gobinda KarmakarNutrition Research Division, icddr,b, Dhaka, Bangladesh.
Mustafa MahfuzNutrition Research Division, icddr,b, Dhaka, Bangladesh.
Md M HasanMaternal and Child Health Division, icddr,b, Dhaka, Bangladesh.
Ahmed E RahmanMaternal and Child Health Division, icddr,b, Dhaka, Bangladesh.
Anisuddin AhmedMaternal and Child Health Division, icddr,b, Dhaka, Bangladesh.
Shams E ArifeenMaternal and Child Health Division, icddr,b, Dhaka, Bangladesh.
Tahmeed AhmedNutrition Research Division, icddr,b, Dhaka, Bangladesh.
Haribondhu SarmaThe National Centre for Epidemiology and Population Health, College of Health and Medicine, The Australian National University, Canberra, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Globally, every year, 20 million neonates are born with weights below 2500 g and are considered low birth weight (LBW). About 90% of these births occur in low- and middle-income countries. Information regarding the geographical variation, socioeconomic inequalities of LBW neonates, and the relationship between maternal inadequate dietary diversity and LBW is limited in rural areas of Bangladesh. We aimed to explore the geographical disparities and socioeconomic inequalities in the prevalence of LBW and its association with inadequate maternal dietary diversity. Methods: We extracted data from a large-scale evaluation programme conducted as a part of the maternal infant and young child nutrition phase two in Bangladesh, implemented by BRAC. We used the concentration index (CIX) to measure the socioeconomic inequalities of LBW. We performed a cluster-adjusted multiple logistic regression analysis to determine the association between LBW and maternal dietary diversity. Results: A total of 4651 children aged <5 years with their mother's information were included. The overall prevalence of LBW was 13.5%. About 16% of mothers living in the poorest wealth quintile gave birth to LBW babies, whereas 10% of mothers living in the richest households gave birth to LBW babies. The CIX exhibited LBW babies were more prevalent among the socioeconomically worst-off (poorest) group (CIX = -0.08), indicating mothers of the poorest households are vulnerable to giving birth to normal-weight babies. An adjusted multiple logistic regression model indicated that mothers with inadequate dietary diversity had higher odds (adjusted odds ratio (AOR) = 1.27; 95% confidence interval (CI) = 1.04, 1.54) of giving birth to LBW babies. Notably, in the interaction of mothers' age and dietary diversity, we found that adolescent mothers (aged ≤ 19 years) with inadequate dietary diversity had 2.56 times (AOR = 2.56; 95% CI = 1.14, 5.76) higher odds of giving birth to LBW babies compared to adult mothers (aged >19 years) who consumed diversified foods. Conclusions: Intervention strategies for reducing LBW prevalence should target the poorest households. Also, interventions for improving the dietary diversity of adolescent pregnant mothers are expected to reduce the number of LBW babies from the rural areas of Bangladesh.

Indexed as

DietInfant, Low Birth WeightSocioeconomic FactorsAdultBangladeshChild, PreschoolFemaleHealth Status DisparitiesHumansInfantInfant, NewbornMaleMothersPregnancyPrevalenceRural Population

Identifiers

PMID39391893
PMCPMC11467772

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