Observational studyBMC public health2025
Factors associated with inequalities in malnutrition among children in Ghana using the 2022 GDHS and WHO HEAT framework.
Observational study in BMC public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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Who cites it
2 citing papers in PubMed.
- The Epidemiology of the Global Syndemic in Africa: New Evidence and Key Insights.Current obesity reports · 2026Review
- Decoding type 5 diabetes using spatial omics: microarchitectural and molecular mechanisms of malnutrition-associated diabetes.Frontiers in endocrinology · 2026Review
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7 authors.
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Abstract
backgroundChildhood malnutrition can impair physical and cognitive development, thereby diminishing productivity at adulthood. Current research recognizes the crucial impact of early childhood nutrition on the long-term health and well-being of children. Ghana has achieved notable progress in lowering childhood malnutrition; nevertheless, it remains a major concern. This study advances current understanding on the socioeconomic drivers and magnitude of child malnutrition in the Ghanaian context.
methodsWe used data from 2022 Ghana Demographic and Health Survey to analyze inequalities in malnutrition among children This study was an analytical cross-sectional survey that covered a total weighted sample of 4,935 women aged 15-49. Simple measures of inequality [difference (D), and Ratio (R)], and complex measures of inequality [Population Attributable risk (PAR), and Population Attributable Fraction (PAF)] were performed using the World Health Organization's Health Equity Assessment Toolkit (WHO's HEAT) software. Six equity stratifiers examined malnutrition among children in Ghana: child's age, economic status, educational status, place of residence, sex of child, and subnational region.
resultsOverall, out of the four child malnutrition indicators used, stunting was the highest with 17.4%. We observed age (D = 7.2, UI = 4.0- 10.4, PAF=-67.7, UI=-67.9- -67.4), maternal education (R = 1.8, UI = 1.5-2.1; PAF=-18.8, UI=-18.8--18.7), place of residence (R = 1.3, UI = 1.1-1.6; PAF=-13.4, UI=-13.4--13.3), and subnational region (D = 19.1, UI = 13.5-24.8; PAR=-6.9, UI=-10.1--3.8).
conclusionThis study revealed the existence of inequalities in malnutrition among children in Ghana, which is influenced by child's age, maternal economic status, maternal education, place of residence, and subnational region. To tackle the issues of child malnutrition in Ghana, it is vital to implement targeted interventions that address age-related disparities and implement social protection programs. Subnational region disparities must be addressed by directing resources to areas vulnerable to malnutrition, such as Northern Ghana, adapting interventions to local needs, and improving infrastructure to facilitate better healthcare and nutrition access in rural communities.
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