ArticleInternational journal for equity in health2025
Wealth inequalities in childhood stunting in the northern province of rwanda: a decomposition analysis.
Article in International journal for equity in health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Socio-Economic Inequalities of Childhood Stunting in Rwanda: Time Trend Analysis of Demographic and Health Surveys, 2000 to 2019.Journal of epidemiology and global health · 2026Article
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5 authors.
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Abstract
backgroundChildhood stunting remains a public health challenge, especially in sub-Saharan Africa. In Rwanda, it is the highest in the Northern province, with a prevalence of 40.5% in children under five. Given that poverty is a key determinant of stunting, we aimed to investigate wealth inequalities in childhood stunting and to identify its contributing determinants in the province.
methodsWe included 601 children aged 1 to 36 months. We estimated the concentration index to quantify wealth-related inequalities in stunting, which we further decomposed it by applying the Wagstaff decomposition approach.
resultsThe overall concentration index of child stunting was relatively high (-0.190; 95% CI: -0.295, -0.084), suggesting that stunting was concentrated in poorer households. Its decomposition revealed that socio-economic determinants (147.9%), namely wealth index, partner’s unemployment or non-skilled occupation, and household food insecurity, contributed most to the wealth inequalities of childhood stunting. The demographic determinants contributed in the second order, especially living in Musanze district. Psychosocial determinants came last, namely maternal social support.
conclusionThis study revealed significant wealth inequalities in childhood stunting in the Northern Province of Rwanda, with socio-economic factors being the primary contributors to these inequalities. Targeted interventions, such as household economic strengthening programs, robust food security policies, improved conditions and salaries in non-skilled jobs, and social support programs for the most disadvantaged communities, are essential to reducing these disparities.
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