Under-Five Child Growth and Nutrition Status: Spatial Clustering of Indian Districts. VID Working Paper 03/2019

15737 8 86500 3 245388 document 86500 WP2019_03.pdf application/pdf af84c7b80ecb49f209ebf156d712e96c MD5 1059016 2019-02-06 14:37:26 https://pure.iiasa.ac.at/id/eprint/15737/1/WP2019_03.pdf 15737 1 1 application/pdf text en public cc_by_4

WP2019_03.pdf

published 86501 1 245392 document 86501 indexcodes.txt text/x-c++ eeb65682b6ec1fc3b612450182f5253f MD5 12264 2019-02-06 14:46:17 https://pure.iiasa.ac.at/id/eprint/15737/2/indexcodes.txt 15737 2 2 text/x-c++ other Generate index codes conversion from text to indexcodes en public

indexcodes.txt

lightbox.jpg

preview.jpg

medium.jpg

small.jpg

http://eprints.org/relation/isVersionOf https://pure.iiasa.ac.at/id/document/86500 http://eprints.org/relation/isVolatileVersionOf https://pure.iiasa.ac.at/id/document/86500 http://eprints.org/relation/issmallThumbnailVersionOf https://pure.iiasa.ac.at/id/document/86500 archive 2 disk0/00/01/57/37 2019-02-06 14:37:52 2021-08-27 17:31:24 2019-02-06 14:37:52 other show 1 Striessnig E. 1862 0000-0001-5419-9498 Bora J.K. 9176 Under-Five Child Growth and Nutrition Status: Spatial Clustering of Indian Districts. VID Working Paper 03/2019 pub iis_pop prog_pop Malnutrition, India, principal component analysis, cluster analysis, socio-economic status, districts. Variation in human growth and the genetic and environmental factors that are influencing it have been described worldwide. The objective of this study is to assess the geographical variance of under-five children nutritional status and its related covariates across Indian districts. We use the most recent fourth round of the Indian National Family Health Survey conducted in 2015-2016, which for the first time offers district level information. We employ principal component analysis (PCA) on the demographic and socio-economic determinants of childhood morbidity and conduct hierarchical clustering analysis to identify geographical patterns in nutritional status among children of age under five at the district level. Our results reveal strong geographical clustering among the districts of India. Throughout most of Southern India, children are provided with relatively better conditions for growth and improved nutritional status, as compared to districts in the central, particularly rural parts of India. Looking at average weight, as well as the proportion of children that suffer from underweight and wasting, northeastern Indian districts seem to be offering living conditions more conducive to healthy child development. The geographical clustering of malnutrition, as well as below-average child height and weight coincides with high poverty, low female education, lower BMI among mothers, higher prevalence of both parity 4+ and teenage pregnancies. The present study highlights the importance of combining PCA and cluster analysis methods in studying variation in under-five child growth and nutrition at the district level. We identify the geographical areas, where children are under severe risk of undernutrition, stunting and wasting and contribute to formulating policies to improve child nutrition in India. 2019 published Vienna Institute of Demography, Austrian Academy of Sciences, Vienna, Austria https://www.oeaw.ac.at/fileadmin/subsites/Institute/VID/IMG/Publications/Working_Papers/WP2019_03.pdf XO-14-043 Available at <www.oeaw.ac.at/vid/download/WP2014_04.pdf> 299 2971 public pub FALSE info:eu-repo/semantics/other