Nutritional Status of the Population in Bundelkhand Region
Authors
-
,IN
Naveen Kumar Boiroju -
,INVenkaiah K.
DOI:
https://doi.org/10.21048/ijnd.2018.55.3.20165Keywords:
Bundelkhand, underweight, stunting, wasting, anemia, spatial distributionAbstract
The Bundelkhand is one of the underdeveloped regions of India. It comprises of six districts of Madhya Pradesh and seven districts of Uttar Pradesh. The study was to assess and compare the nutritional status of population in two sub regions of Bundelkhand. The district level data used in the study were compiled and analyzed from the Annual Health Survey (AHS) conducted in Madhya Pradesh and Uttar Pradesh during 2013-14 by the Ministry of Health and Family Welfare, in collaboration with the Registrar General of India. Descriptive statistics were computed using SPSS software and the prevalence was expressed in percentages with a 95% confidence interval. Spatial distribution of underweight and anemia among under five children were being studied using GIS mapping. The study showed that two out of five under five-year-old children are underweight, half of the under five children are stunted and one out of five children is wasted in Bundelkhand. There was a clear variation in the nutritional status of under five children observed in the two regions of Bundelkhand. Bundelkhand region showed a higher prevalence of underweight and stunting as compared to rest of Uttar Pradesh and Madhya Pradesh states. One out of three school aged children and one out of five adolescents were undernourished in the Bundelkhand. One out of four adults was suffering from chronic energy deficiency in this region. More than 80% of the population in Bundelkhand was suffering from anemia. Three districts viz Lalitpur, Mahoba and Banda have a relatively low prevalence of underweight and anemia among under five-year-old children. The spatial distribution of underweight and anemia among under five-year-old children is not random in Bundelkhand. District-wise perspective is essential in addressing the malnutrition and it can also be used to design appropriate regional programs intended to reduce the malnutrition.
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Accepted 2018-07-04
Published 2018-07-05
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