Stunting is a public health problem that can pose a serious threat to global health because it can lead to less optimal growth and development potential. The aim of this study was to determine the prevalence of stunting and identified the various possible factors associated with stunting status among children aged 6–59 months in Ethiopia by using Bayesian Multilevel Analysis.
The descriptive result revealed that 8640 Children’s considered in the analysis, also showed that in Ethiopian Children’s who live in Afar and Amhara regions were more than other regions in prevalence of stunting. Bayesian multilevel binary logistic regression of random 3 coefficient models were employed for data analysis based on the selection of smallest value of DIC.
From these models, place of residence, educational attainment of women, husband educational level, sex of child, age of child, Size at birth, body mass index of mothers, household wealth index and birth order are significant factors.
The Bayesian multilevel random coefficients model was better fit than empty and random intercept. The variance of the random component related to the coefficient model was implying regional variations in stunting status of children among the regions in the country.