Evidence map›Paper›PMID 35389332›Full record

ArticleGlobal health action2022

Wealth- and education-related inequalities in minimum dietary diversity among Indonesian infants and young children: a decomposition analysis.

Bunga A Paramashanti, Michael J Dibley, Ashraful Alam, Tanvir M Huda

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Article in Global health action, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

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14citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

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14 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

4 authors.

Bunga A ParamashantiSydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.ORCID 0000-0001-6066-2039
Michael J DibleySydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.ORCID 0000-0002-1554-5180
Ashraful AlamSydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.ORCID 0000-0001-7034-1095
Tanvir M HudaSydney School of Public Health, Faculty of Medicine and Health, The University of Sydney, Sydney, Australia.ORCID 0000-0002-8996-4361

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOver the last two decades, Indonesia has experienced remarkable economic growth. However, the percentage of infants and young children meeting the minimum dietary diversity (MDD) criteria has stagnated. Despite the growing body of evidence of the association between MDD and socioeconomic factors, there is little information about socioeconomic inequalities in MDD in Indonesia.

objectivesThe current study seeks to quantify the wealth- and education-related inequalities in MDD among infants and young children in Indonesia and determine the contribution of different factors to these disparities.

methodsWe included a total of 5038 children aged 6-23 months of the 2017 Indonesia Demographic and Health Survey. We measured wealth- and education-related inequalities using the concentration curve and Wagstaff normalised concentration index. Using a concentration index decomposition analysis, we then examined factors contributing to wealth- and education-related inequalities in MDD.

resultsThe concentration indices by household wealth and maternal education were 0.220 (p < 0.001) and 0.192 (p < 0.001), respectively, indicating more concentration of inequalities among the advantaged population. The decomposition analysis revealed that household wealth (29.8%), antenatal care (ANC) visits (16.6%), paternal occupation (15.1%), and maternal education (11.8%) explained the pro-rich inequalities in MDD in Indonesia. Maternal education (26.1%), household wealth (19.1%), ANC visits (14.9%), and paternal occupation (10.9%) made the most considerable contribution to education-related inequalities in MDD.

conclusionsThere is substantial wealth- and education-related inequalities in MDD. Our findings suggest an urgent need to address the underlying causes of not reaching dietary diversity by promoting infant and young child feeding equity in Indonesia.

Indexed as

DietPrenatal CareChildChild, PreschoolEducational StatusFemaleHumansIndonesiaInfantPregnancySocioeconomic Factorsconcentration indexdecomposition analysisdeterminantsIndonesiaMinimum dietary diversitysocioeconomic disparities

Identifiers

PMID35389332
PMCPMC9004518

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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.