@article{c9c06578965a4098b45dc077fd2f95fd,
title = "Mapping geographical differences and examining the determinants of childhood stunting in Ethiopia: A bayesian geostatistical analysis",
abstract = "Understanding the specific geographical distribution of stunting is essential for planning and implementing targeted public health interventions in high-burdened countries. This study investigated geographical variations in the prevalence of stunting sub-nationally, and the determinants of stunting among children under 5 years of age in Ethiopia. We used the 2016 Ethiopia Demographic and Health Survey (EDHS) dataset for children aged 0-59 months with valid anthropometric measurements and geographic coordinates (n = 9089). We modelled the prevalence of stunting and its determinants using Bayesian geospatially explicit regression models. The prevalence of stunting among children under five years was 36.3% (95% credible interval (CrI); 22.6%, 51.4%) in Ethiopia, with wide variations sub-nationally and by age group. The prevalence of childhood stunting ranged from 56.6% (37.4-74.6%) in the Mekelle Special zone of the Tigray region to 25.5% (10.5-48.9%) in the Sheka zone of the Southern Nations, Nationalities and Peoples region. Factors associated with a reduced likelihood of stunting in Ethiopia included non-receipt of breastmilk, mother's BMI (overweight/obese), employment status (employed), and higher household wealth, while the enablers were residence in the {"}arid{"} geographic areas, small birth size of the child, and mother's BMI (underweight). The prevalence and determinants of stunting varied across Ethiopia. Efforts to reduce the burden of childhood stunting should consider geographical heterogeneity and modifiable risk factors.",
keywords = "Children, Ethiopia, Geo-statistics, Inequality, Stunting, Undernutrition",
author = "Ahmed, {Kedir Y} and Agho, {Kingsley E} and Andrew Page and Amit Arora and Ogbo, {Felix Akpojene} and {On Behalf Of The Global Maternal And Child Health Research Collaboration GloMACH}",
note = "Funding Information: Funding: This research received no external funding, but with the exception of the APC, which was funded by the Western Sydney University. Funding Information: Data were based on the nationally representative 2016 EDHS (n = 9089). The survey was implemented by the Central Statistical Agency (CSA) and Inner City Fund (ICF) International and funded by the United States Agency for International Development [36], and the Government of Ethiopia [13,17,37,38]. The 2016 EDHS used a two-stage stratified cluster sampling technique to select the study participants. In stage one, 645 enumeration areas (EAs) were randomly selected in each sampling stratum with probability proportional to EA size, using the 2007 Ethiopia Population and Housing Census [39]. A complete household listing was conducted to develop a sampling frame for the selection of households. In stage two, a systematic random sampling technique was used to select a fixed number of 28 households in each EA. Out of 16,583 eligible women of reproductive age (15–49 years of age) from the selected households, 15,683 were successfully interviewed, yielding a response rate of 94.6%. Publisher Copyright: {\textcopyright} 2021 by the authors. Licensee MDPI, Basel, Switzerland.",
year = "2021",
month = jun,
day = "19",
doi = "10.3390/nu13062104",
language = "English",
volume = "13",
journal = "Nutrients",
issn = "2072-6643",
publisher = "Multidisciplinary Digital Publishing Institute (MDPI)",
number = "6",
}