Spatial variation, 20-year trends, and determinants of the double burden of wasting and stunting among under-five children in Ethiopia: a geo-spatial and multivariate decomposition analysis (2000–2019)

Despite extensive efforts, malnutrition persists as a critical public health concern, particularly in developing nations like Ethiopia. Concurrent occurrence of wasting and stunting poses severe consequences. Analyzing trends and factors contributing to this double burden is vital for evaluating and...

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Published in:Scientific reports 2024-11, Vol.14 (1), p.29539-14
Main Authors: kitaw, Tegene Atamenta, Abate, Biruk Beletew, Tilahun, Befkad Derese, Azmeraw, Molla, Ayele, Mulat, Lake, Eyob Shitie, Zemariam, Alemu Birara, Yilak, Gizachew, Kassa, Mulat Awoke, Haile, Ribka Nigatu
Format: Article
Language:English
Subjects:
692/700/1720
692/700/1720/3187
Child, Preschool
Decomposition
Determinants
Developing countries
Double burden of wasting and stunting
Education
Ethiopia - epidemiology
Family planning
Family size
Female
Growth Disorders - epidemiology
Humanities and Social Sciences
Humans
Infant
Infant, Newborn
LDCs
Male
Malnutrition
Malnutrition - epidemiology
multidisciplinary
Multivariate Analysis
Parent educational background
Public health
Resource allocation
Science
Science (multidisciplinary)
Spatial Analysis
Spatial distribution
Spatial variation
Spatial variations
Trends
Wasting Syndrome - epidemiology
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Summary:Despite extensive efforts, malnutrition persists as a critical public health concern, particularly in developing nations like Ethiopia. Concurrent occurrence of wasting and stunting poses severe consequences. Analyzing trends and factors contributing to this double burden is vital for evaluating and enhancing existing nutritional programs. Additionally, understanding the spatial distribution of malnutrition is crucial for targeted resource allocation, expediting progress towards optimal child growth. A 20-year trend and spatial analysis was conducted among 27,138 weighted samples of under-five children using EDHS (2000–2019). The data extraction was conducted between October 1 and November 1, 2023. STATA 18, ArcGIS Pro, and Sat Scan 9.6 were used for analysis. A logit-based multivariate decomposition analysis was used to identify contributing factors for the change in the double burden of wasting and stunting in the past 20 years. The statistical significance was declared at a P-value 
ISSN:2045-2322
2045-2322
DOI:10.1038/s41598-024-78567-0