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Modeling spatial determinants of initiation of breastfeeding in Ethiopia: A geographically weighted regression analysis

BACKGROUND: The World Health Organization (WHO) encourages breastfeeding to begin within the first hour after birth in order to save children’s lives. In Ethiopia, different studies are done on the prevalence and determinants of breastfeeding initiation, up to our knowledge, the spatial distribution...

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Autores principales: Hailegebreal, Samuel, Haile, Yosef, Seboka, Binyam Tariku, Enyew, Ermias Bekele, Shibiru, Tamiru, Mekonnen, Zeleke Abebaw, Mengiste, Shegaw Anagaw
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9477376/
https://www.ncbi.nlm.nih.gov/pubmed/36107834
http://dx.doi.org/10.1371/journal.pone.0273793
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author Hailegebreal, Samuel
Haile, Yosef
Seboka, Binyam Tariku
Enyew, Ermias Bekele
Shibiru, Tamiru
Mekonnen, Zeleke Abebaw
Mengiste, Shegaw Anagaw
author_facet Hailegebreal, Samuel
Haile, Yosef
Seboka, Binyam Tariku
Enyew, Ermias Bekele
Shibiru, Tamiru
Mekonnen, Zeleke Abebaw
Mengiste, Shegaw Anagaw
author_sort Hailegebreal, Samuel
collection PubMed
description BACKGROUND: The World Health Organization (WHO) encourages breastfeeding to begin within the first hour after birth in order to save children’s lives. In Ethiopia, different studies are done on the prevalence and determinants of breastfeeding initiation, up to our knowledge, the spatial distribution and the spatial determinants of breast feeding initiation over time are not investigated. Therefore, the objectives of this study were to assess spatial variation and its spatial determinant of delayed initiation of breastfeeding in Ethiopia using Geographically Weighted Regression (GWR). METHODS: A cross-sectional study was undertaken using the nationally representative 2016 Ethiopian Demographic and Health Survey (EDHS) dataset. Global Moran’s I statistic was used to measure whether delayed breastfeeding initiation was dispersed, clustered, or randomly distributed in study area. Ordinary Least Squares (OLS) regression was used to identify factors explaining the geographic variation in delayed breastfeeding initiation. Besides, spatial variability of relationships between dependent and selected predictors was investigated using geographically weighted regression. RESULT: A total weighted sample of 4169 children of aged 0 to 23 months was included in this study. Delayed initiation of breastfeeding was spatially varies across the country with a global Moran’s I value of 0.158 at (p-value<0.01). The hotspot (high risk) areas were identified in the Amhara, Afar, and Tigray regions. Orthodox religion, poor wealth index, caesarian section, baby postnatal checkup, and small size of a child at birth were spatially significant factors for delayed breastfeeding initiation in Ethiopia. CONCLUSION: In Ethiopia initiation of breastfeeding varies geographically across region. A significant hotspot was identified in the Amhara, Afar, and Tigray regions. The GWR analysis revealed that orthodox religion, poor wealth index, caesarian section, baby postnatal checkup, and small birth weight were spatially significant factors.
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spelling pubmed-94773762022-09-16 Modeling spatial determinants of initiation of breastfeeding in Ethiopia: A geographically weighted regression analysis Hailegebreal, Samuel Haile, Yosef Seboka, Binyam Tariku Enyew, Ermias Bekele Shibiru, Tamiru Mekonnen, Zeleke Abebaw Mengiste, Shegaw Anagaw PLoS One Research Article BACKGROUND: The World Health Organization (WHO) encourages breastfeeding to begin within the first hour after birth in order to save children’s lives. In Ethiopia, different studies are done on the prevalence and determinants of breastfeeding initiation, up to our knowledge, the spatial distribution and the spatial determinants of breast feeding initiation over time are not investigated. Therefore, the objectives of this study were to assess spatial variation and its spatial determinant of delayed initiation of breastfeeding in Ethiopia using Geographically Weighted Regression (GWR). METHODS: A cross-sectional study was undertaken using the nationally representative 2016 Ethiopian Demographic and Health Survey (EDHS) dataset. Global Moran’s I statistic was used to measure whether delayed breastfeeding initiation was dispersed, clustered, or randomly distributed in study area. Ordinary Least Squares (OLS) regression was used to identify factors explaining the geographic variation in delayed breastfeeding initiation. Besides, spatial variability of relationships between dependent and selected predictors was investigated using geographically weighted regression. RESULT: A total weighted sample of 4169 children of aged 0 to 23 months was included in this study. Delayed initiation of breastfeeding was spatially varies across the country with a global Moran’s I value of 0.158 at (p-value<0.01). The hotspot (high risk) areas were identified in the Amhara, Afar, and Tigray regions. Orthodox religion, poor wealth index, caesarian section, baby postnatal checkup, and small size of a child at birth were spatially significant factors for delayed breastfeeding initiation in Ethiopia. CONCLUSION: In Ethiopia initiation of breastfeeding varies geographically across region. A significant hotspot was identified in the Amhara, Afar, and Tigray regions. The GWR analysis revealed that orthodox religion, poor wealth index, caesarian section, baby postnatal checkup, and small birth weight were spatially significant factors. Public Library of Science 2022-09-15 /pmc/articles/PMC9477376/ /pubmed/36107834 http://dx.doi.org/10.1371/journal.pone.0273793 Text en © 2022 Hailegebreal et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Hailegebreal, Samuel
Haile, Yosef
Seboka, Binyam Tariku
Enyew, Ermias Bekele
Shibiru, Tamiru
Mekonnen, Zeleke Abebaw
Mengiste, Shegaw Anagaw
Modeling spatial determinants of initiation of breastfeeding in Ethiopia: A geographically weighted regression analysis
title Modeling spatial determinants of initiation of breastfeeding in Ethiopia: A geographically weighted regression analysis
title_full Modeling spatial determinants of initiation of breastfeeding in Ethiopia: A geographically weighted regression analysis
title_fullStr Modeling spatial determinants of initiation of breastfeeding in Ethiopia: A geographically weighted regression analysis
title_full_unstemmed Modeling spatial determinants of initiation of breastfeeding in Ethiopia: A geographically weighted regression analysis
title_short Modeling spatial determinants of initiation of breastfeeding in Ethiopia: A geographically weighted regression analysis
title_sort modeling spatial determinants of initiation of breastfeeding in ethiopia: a geographically weighted regression analysis
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9477376/
https://www.ncbi.nlm.nih.gov/pubmed/36107834
http://dx.doi.org/10.1371/journal.pone.0273793
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