Evidence map›Paper›PMID 41831651›Full record

ArticleThe Journal of nutrition2026

Location-Specific Predictors of Double Burden of Malnutrition among Nigerian Mother-Child Pairs: Re-evaluating Dietary Quality and Socioeconomic Factors.

Beulah F Ortutu, Faidat A Adeleke, Hajara Idris, Chiamaka J Ezenwa, Folasade A Adeleke, Okemudi Nwonye, Linda O Edafioghor, Ifeoma M Egechizuorom, Gideon O Iheme

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Article in The Journal of nutrition, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Beulah F OrtutuDepartment of Nutrition, Texas A&M University, TX, United States; Department of Human Nutrition and Dietetics, Michael Okpara University of Agriculture, Umudike, Nigeria. Electronic address: beulah@tamu.edu.
Faidat A AdelekeDepartment of Human Nutrition and Dietetics, University of Ibadan, Ibadan, Nigeria.
Hajara IdrisDepartment of Pediatrics, Federal Teaching Hospital Katsina, Katsina, Nigeria.
Chiamaka J EzenwaDepartment of Public Health, Federal University of Technology, Owerri, Nigeria.
Folasade A AdelekeDepartment of Nutrition and Dietetics, Modibbo Adama University Teaching Hospital, Yola, Nigeria.
Okemudi NwonyeDepartment of Nutrition and Dietetics, Federal University of Agriculture, Mubi, Nigeria.
Linda O EdafioghorDepartment of Nutrition and Dietetics, Federal University of Medical and Health Science, Kwale, Delta state, Nigeria.
Ifeoma M EgechizuoromDepartment of Nutrition and Dietetics, Federal Medical Centre, Umuahia, Nigeria.
Gideon O IhemeDepartment of Human Nutrition and Dietetics, Michael Okpara University of Agriculture, Umudike, Nigeria; Department of Food Studies, Nutrition and Dietetics, Uppsala University, Uppsala, Sweden.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe double burden of malnutrition (DBM), classified as the coexistence of maternal overweight/obesity or maternal undernutrition and child undernutrition or childhood overweight/obesity, within the same household, is an increasing concern in Nigeria. Drivers of DBM may differ by location due to urbanization, socioeconomic gradients, and dietary transitions.

objectivesThis study examined location-specific predictors of DBM among Nigerian mother-child pairs, with a focus on child dietary quality, maternal education, household food insecurity, and wealth index.

methodsA descriptive cross-sectional study using a stratified multistage sampling technique was conducted among 1295 mother-child pairs (children aged 6-23 mo) across 4 Nigerian cities. Child nutritional status was assessed using World Health Organization (WHO) growth standards, and maternal body mass index was classified according to WHO adult cutoffs. Household food insecurity, dietary diversity, minimum meal frequency, and wealth index were measured using validated tools. Associations between predictors and DBM were examined using χ

resultsDBM prevalence was 37.4%, with the most frequent phenotype being overweight mothers and undernourished children (34%). Semiurban residence [adjusted odds ratio (AOR): 2.11; 95% confidence interval (CI): 1.93, 2.30], food-secure households (AOR: 1.22; 95% CI: 1.09, 1.37), and not meeting the minimum meal frequency (AOR: 1.41; 95% CI: 1.04, 1.92) were associated with an increased risk of DBM.

conclusionsDBM among Nigerian mother-child pairs is shaped by dietary factors. Context-specific interventions are needed, with a focus on improving child diet quality in semiurban areas.

Indexed as

DietMalnutritionSocioeconomic FactorsAdultCross-Sectional StudiesFemaleFood InsecurityHumansInfantMaleMothersNigeriaNutritional StatusPrevalencediet qualitydouble burden of malnutrition (DBM)food insecuritymaternal educationmother–child pairsNigeriawealth index

Identifiers

PMID41831651
PMCPMC13197940

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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.