Identifying geographical heterogeneity of under-five child nutritional status in districts of India. (30th September 2020)

• Record Type: Journal Article
• Authors: Biswas, M
• Is Part Of: European journal of public health. Volume 30(2020)Supplement 5
• Publication Date: 2020-09-30
• Subjects: Epidemiology -- Europe -- Periodicals; Public health -- Europe -- Periodicals; 362.109405
• DOI: 10.1093/eurpub/ckaa166.954
• Languages: English
• ISSNs: 1101-1262

Abstract

Abstract: The nutritional status of under-five children often cited as a sensitive indicator of household living standards as well as the economic condition and also an important determinant of child survival. Despite India has already achieved remarkable progress in reducing child malnutrition, progress toward reducing the number of malnourished children has been sluggish. improvements in nutrition still represent a massive unfinished agenda. The objective of this study identified the place-specific spatial dependencies and heterogeneities in the associations between socioeconomic and demographic factors and nutritional status among under-five children in India. The study used a geocoded database from the fourth wave of the National Family Health Survey (NFHS-4 2015-16) data for 640 districts. The dependent variables were stunting, wasting and underweight. Moran's I and univariate LISA were used to confirm the spatial autocorrelation and clustering of nutritional status. Multivariate Ordinary least square (OLS), Geographically weighted regression (GWR), spatial (lag/error) models were employed to decrypt the determinants of under-five nutritional status. Overall, the prevalence and spatial clustering (Moran's I statistics) of stunting, wasting and underweight were 38% (0.634), 21% (0.488) and 36% (0.721), respectively. GWR results disclosed that the relationships between the outcomes and its covariates were significantly place-specific and spatially clustering in terms of their respective magnitude, direction and strength. Regarding model performance and prediction accuracy, GWR better fits compared to traditional OLS models. The findings of the present study identified district-level nutritional conditions (hotspots) in India, where children are under severe risk of malnutrition can help health professionals, planners and policymakers in designing and implementing effective place-specific health policies to improve district-level under-five nutrition status in India. Key messages: To identify the place-specific spatial dependencies and heterogeneities in the associations between socio-economic and demographic factors and nutritional status among under-five children in India. This study helps health professionals, planners and policymakers in designing and implementing effective place-specific health policies to improve district-level under-five nutrition status in India.