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Child malnutrition in sub-Saharan Africa: A meta-analysis of demographic and health surveys (2006-2016)

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  • Blessing J Akombi
  • Kingsley E Agho
  • Dafna Merom
  • Andre M Renzaho
  • John J Hall

Abstract

Background: Sub-Saharan Africa has one of the highest levels of child malnutrition globally. Therefore, a critical look at the distribution of malnutrition within its sub-regions is required to identify the worst affected areas. This study provides a meta-analysis of the prevalence of malnutrition indicators (stunting, wasting and underweight) within four sub-regions of sub-Saharan Africa. Methods: Cross-sectional data from the most recent Demographic and Health Surveys (2006–2016) of 32 countries in sub-Saharan Africa were used. The countries were grouped into four sub-regions (East Africa, West Africa, Southern Africa and Central Africa), and a meta-analysis was conducted to estimate the prevalence of each malnutrition indicator within each of the sub-regions. Significant heterogeneity was detected among the various surveys (I2 >50%), hence a random effect model was used, and sensitivity analysis was performed, to examine the effects of outliers. Stunting was defined as HAZ

Suggested Citation

  • Blessing J Akombi & Kingsley E Agho & Dafna Merom & Andre M Renzaho & John J Hall, 2017. "Child malnutrition in sub-Saharan Africa: A meta-analysis of demographic and health surveys (2006-2016)," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-11, May.
  • Handle: RePEc:plo:pone00:0177338
    DOI: 10.1371/journal.pone.0177338
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