Binyam Tariku(MPH)

Researcher & Lecturer

Spatial Distribution of Stunting and Its Associated Factors Among Under-five Children in Ethiopia: Spatial and Multilevel Analysis


Journal article


Delelegn Emwodew Yehualashet, Binyam Tariku Seboka, Getanew Aschalew Tesfa, Elias Seid, Samuel Hailegebreal, Abel Desalegn Demeke, Endris Seid Amede
2021

Semantic Scholar DOI
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APA   Click to copy
Yehualashet, D. E., Seboka, B. T., Tesfa, G. A., Seid, E., Hailegebreal, S., Demeke, A. D., & Amede, E. S. (2021). Spatial Distribution of Stunting and Its Associated Factors Among Under-five Children in Ethiopia: Spatial and Multilevel Analysis.


Chicago/Turabian   Click to copy
Yehualashet, Delelegn Emwodew, Binyam Tariku Seboka, Getanew Aschalew Tesfa, Elias Seid, Samuel Hailegebreal, Abel Desalegn Demeke, and Endris Seid Amede. “Spatial Distribution of Stunting and Its Associated Factors Among Under-Five Children in Ethiopia: Spatial and Multilevel Analysis” (2021).


MLA   Click to copy
Yehualashet, Delelegn Emwodew, et al. Spatial Distribution of Stunting and Its Associated Factors Among Under-Five Children in Ethiopia: Spatial and Multilevel Analysis. 2021.


BibTeX   Click to copy

@article{delelegn2021a,
  title = {Spatial Distribution of Stunting and Its Associated Factors Among Under-five Children in Ethiopia: Spatial and Multilevel Analysis},
  year = {2021},
  author = {Yehualashet, Delelegn Emwodew and Seboka, Binyam Tariku and Tesfa, Getanew Aschalew and Seid, Elias and Hailegebreal, Samuel and Demeke, Abel Desalegn and Amede, Endris Seid}
}

Abstract

Background: Childhood stunting is a major challenge to the growth and development of nations by affecting millions of children across the world. Although Ethiopia has made steady progress in reducing stunting, the prevalence of stunting is still one of the highest in the world. This study aimed to assess the spatial variation and factors associated with stunting among under-five children in Ethiopia.Methods: This study is a secondary data analysis of the 2019 Ethiopian Mini Demographic and Health Survey (EMDHS). The Getis-Ord statistics tool has been used to identify areas with high and low hotspots of stunting. A multilevel logistic regression model was used to identify factors associated with stunting. Adjusted odds ratios (AOR) with its 95% confidence intervals (CI) at p-value < 0.05 were used to declare statistical significance.Results: The result of this study shows that about 37% of under-five children were stunted. Statistically significant hotspots of stunting were found in northern parts of Ethiopia. Children in the age group between 24–35 months were more likely to be stunted than children whose age was less than one year [AOR = 3.74; 95 % CI: (3.04–4.59)]. Children with mothers who had completed higher education had lower odds of being stunted compared to children whose mothers had no formal education [AOR = 0.55; 95%CI: (0.38–0.82)]. Children from the poorest wealth quintile had higher odds of being stunted compared to children from the richest wealth quintiles [AOR = 2; 95 % CI: (1.46–2.73)]. Children living in Tigray (AOR =3.64; 95 % CI: 2.17–6.11), Afar (AOR 2.02; 95 % CI 1.19-3.39), Amhara (AOR =2.29; 95 % CI: 1.37–3.86), Benishangul Gumz (AOR=1.87; 95% CI: 1.10-3.17) and Harari (AOR=1.95; 95% CI: 1.17-3.25) regions were more likely to be stunted compared to children living in Addis Ababa.Conclusion: This study showed that both individual and community-level factors were significant predictors of stunting. Improving maternal education, improving the economic status of households, improving age-specific child feeding practice, and providing additional resources to regions with high hotspots of stunting are recommended.


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