Prevalence of under-nutrition and its correlates among under 3 year-old children in rural areas of Andhra Pradesh, India

Ann Hum Biol. 2011 Jan;38(1):93-101. doi: 10.3109/03014460.2010.498387. Epub 2010 Sep 3.

Abstract

Background: Under-nutrition continues to be a major public health problem, especially among young children in India. The present study was undertaken to assess the nutritional status of under-3 year-old children and factors associated with under-nutrition.

Method: A community-based cross-sectional survey was carried out in 40 Anganwadi centre villages of Medak district of Andhra Pradesh, India. A total of 805 children were selected for nutritional assessment in terms of under-weight, stunting and wasting using the new WHO growth standards. Wealth index was calculated using principal components analysis. A conceptual hierarchical framework was used as a basis for controlling for the explanatory factors in multivariate analysis.

Results: Prevalence of under-weight, stunting and wasting was ~39%, 30% and 22%, respectively. The risk of under-weight and stunting was 1.80- and 3.02-times higher among 12-23 months and 3.13- and 5.50-times higher among 24-36 months children as compared to children under 12 months, respectively. The risk of under-weight was 2.74- and 1.73-times higher among children belonging to the lowest and middle household wealth index, respectively.

Conclusions: Under-nutrition is a significant public health problem among under 3 year-old children. The prevalence of under-nutrition was significantly higher among boys and those belonging to the lowest and middle wealth index. Thus, implementation of appropriate nutritional intervention strategies and improvement in household socio-economic condition may help in improving nutritional status.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Body Weight
  • Child Nutrition Disorders
  • Child, Preschool
  • Cross-Sectional Studies
  • Feeding Behavior
  • Female
  • Humans
  • India / epidemiology
  • Male
  • Malnutrition / epidemiology*
  • Nutrition Surveys*
  • Nutritional Status
  • Prevalence
  • Rural Health / statistics & numerical data*
  • Rural Population
  • Social Class
  • Socioeconomic Factors