Underweight, Stunting and Wasting among Children in Kilimanjaro Region, Tanzania; a Population-Based Cross-Sectional Study

Int J Environ Res Public Health. 2017 May 10;14(5):509. doi: 10.3390/ijerph14050509.

Abstract

This study assessed the prevalence and risk factors associated with underweight, stunting and wasting among children aged 0-24 months in six districts of Kilimanjaro region, northern Tanzania. A cross-sectional population-based study using a multistage, proportionate to size sampling was conducted from June 2010 to March 2011. A structured questionnaire was used to collect sociodemographic, economic, feeding and child information. Anthropometric data were collected by trained field workers, and the data were used to assess child nutritional status. A total of 1870 children were enrolled in this study. The prevalence of children classified as underweight was 46.0%, stunting was 41.9%, and wasting was 24.7%. About 33% were both underweight and stunted, and 12% had all three conditions. In a multivariate logistic regression, child age, child being ill and birth weight were associated with all anthropometric indices. Child being breastfed was associated with being underweight and wasting. Mother's education was associated with being underweight and stunting. Fathers aged 35+ years, and living in the Hai district was associated with stunting, and being female was associated with wasting. The prevalence of child undernutrition is high in this region. Strategies that target each risk factor for child undernutrition may help to reduce the problem in the region.

Keywords: Kilimanjaro; Tanzania; breastfeeding; child illness; stunting; underweight; wasting.

MeSH terms

  • Anthropometry
  • Breast Feeding / statistics & numerical data
  • Child Nutrition Disorders / epidemiology*
  • Child Nutritional Physiological Phenomena
  • Child, Preschool
  • Cross-Sectional Studies
  • Female
  • Humans
  • Infant
  • Infant, Newborn
  • Logistic Models
  • Male
  • Prevalence
  • Risk Factors
  • Sex Distribution
  • Socioeconomic Factors
  • Tanzania / epidemiology
  • Thinness / epidemiology*