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Monirujjaman Biswas, Jawaharlal Nehru University
India has achieved continued progress with respect to under-five nutritional prevalence. Despite this, it remains gigantic with spatially variant across districts, while the demographic and socio-economic groups are most affected by it. Therefore, the present study aimed to decrypt the place-specific local spatial dependence and heterogeneity in the associations between under-five nutritional status and its considered correlates using the geocoded database for 640 Indian districts from the most recent 4th wave of National Family Health Survey, 2015–16. The outcomes of interest included in the analysis were stunting, wasting and underweight. Moran’s I and univariate LISA were used to confirm the degree of spatial autocorrelation and clustering of under-five nutrition. Multiple regressions [Ordinary least square (OLS), Geographically weighted regression (GWR), spatial (lag/error)] were employed to discern the geographic variance in the determinants of district-level under-five nutrition. Overall, the prevalence and spatial clustering (Moran’s I) of childhood stunting, wasting and underweight were 38% (0.634), 21% (0.488) and 36% (0.721), respectively. The GWR results disclosed the linkages between under-five nutrition and its driving forces were location-specific and spatially variant with their respective magnitude and strength across districts. With the model performance perspective, the GWR performed better-fit compared with the OLS and spatial (lag/error) estimates. The findings highlight the geographical dependences and heterogeneities in under-five stunting, wasting and underweight were strongly explained by a multitude of factors across districts, which can help policymakers in designing and implementing effective nutrition-centric interventions to improve under-five nutritional status in India.
Presented in Session 48. Childhood and Biopolitics
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