Modelling chronic malnutrition in Zambia: A Bayesian distributional regression approach.

ABSTRACT:

Background

The burden of child under-nutrition still remains a global challenge, with greater severity being faced by low- and middle-income countries, despite the strategies in the Sustainable Development Goals (SDGs). Globally, malnutrition is the one of the most important risk factors associated with illness and death, affecting hundreds of millions of pregnant women and young children. Sub-Saharan Africa is one of the regions in the world struggling with the burden of chronic malnutrition. The 2018 Zambia Demographic and Health Survey (ZDHS) report estimated that 35% of the children under five years of age are stunted. The objective of this study was to analyse the distribution, and associated factors of stunting in Zambia.

Methods

We analysed the relationships between s

SUBMITTER: Moonga G 

PROVIDER: S-EPMC8336812 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature