ArticleMaternal and child health journal2026
Child Malnutrition and Morbidity in Uttar-Pradesh: An Application of Structural Equation Modeling and Geo-Spatial Analysis.
Article in Maternal and child health journal, 2026. 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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Abstract
backgroundChild malnutrition remains a major public health concern in low and middle-income countries, and Uttar Pradesh (UP), India, continues to experience some of the highest levels of stunting, wasting, and underweight among children under five.
objectivesThis study examines the determinants of child malnutrition and its association with morbidity using data from the National Family Health Survey (NFHS-5).
methodsUnivariate and bivariate analyses, generalized Structural Equation Modeling (GSEM), and spatial analysis (Moran's I statistics and LISA cluster maps) were applied to assess both individual-level and district-level patterns. The NFHS-5 sample for Uttar Pradesh included 59,232 children under five, providing statistically robust estimates at both state and district levels.
resultsGSEM results indicated that maternal height, place of delivery, child age, caste, wealth index, and maternal education were significantly associated with stunting. Wasting was influenced by maternal height, birth order, child age, caste, wealth index, place of residence, and maternal education. Underweight was associated with maternal height, work status, child age, caste, wealth index, and maternal education. Malnutrition had a significant positive association with childhood morbidity (β = 0.032), indicating higher morbidity levels among malnourished children. Spatial analysis revealed clear geographic clustering of stunting, wasting, and underweight across districts, identifying several high-burden hotspots.
conclusionThese findings highlight the need for integrated, geographically targeted interventions addressing socio-economic inequalities, healthcare access, maternal factors, and environmental conditions to improve child nutrition and health outcomes in Uttar Pradesh.
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