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Identifying the determinants and associated factors of mortality under age five in Ethiopia

BACKGROUND: Mortality rate under the age of five is the proportion of deaths of children below the age of 5 years out of 1000 live births. It is related with the living standard of a population, and it is taken as one of the health and socioeconomic status deterioration index. Mortality rate under t...

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Autores principales: Yohannis, Hunachew Kibret, Fetene, Moges Zerihun, Gebresilassie, Habtamu Gebremariam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7841993/
https://www.ncbi.nlm.nih.gov/pubmed/33509147
http://dx.doi.org/10.1186/s12889-021-10157-5
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author Yohannis, Hunachew Kibret
Fetene, Moges Zerihun
Gebresilassie, Habtamu Gebremariam
author_facet Yohannis, Hunachew Kibret
Fetene, Moges Zerihun
Gebresilassie, Habtamu Gebremariam
author_sort Yohannis, Hunachew Kibret
collection PubMed
description BACKGROUND: Mortality rate under the age of five is the proportion of deaths of children below the age of 5 years out of 1000 live births. It is related with the living standard of a population, and it is taken as one of the health and socioeconomic status deterioration index. Mortality rate under the age of five also indicates a poor quality life standards of a population. It is very significantly high in Sub-Saharan African countries. Ethiopia is one of these Sub-Saharan African countries where mortality rate under the age five is high. This research work aims to identify the determinants and associated factors of under-five mortality in Ethiopia. METHODS: The data for this paper were gathered from the EDHS 2016, collected by CSA. In this study, count family models such as Poisson, negative binomial, zero-inflated Poisson and zero-inflated negative binomial regression were applied for analyzing the data. Each of these count models were compared with different statistical tests like log-likelihood ratio test, Akaike information criteria, mean absolute difference, Vuong test and observed versus predicted probability plot. RESULTS: The study revealed that as mothers’ age at first birth increased by one unit, the average number of under-five mortality rate decreased by 2.69%. In the same way the number of under-five mortality of Afar, Benishangul Gumuz and Dire Dawa were 1.3446, 1.6429 and 1.3320 times more likely to Tigray respectively. The risk of under-five mortality for primary and secondary education level of the mother was 28.31 and 40.96% less likely than to mothers who have no education respectively. CONCLUSION: From the result we found that, there were overabundance zeros and broad heterogeneity in the non-zero outcomes. Zero-inflated negative binomial regression model was found to best fit the data, and from the regression model, age of mothers at first birth, mother’s education level, place of residence and region were statistically significant factors of under-five mortality per mother.
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spelling pubmed-78419932021-01-28 Identifying the determinants and associated factors of mortality under age five in Ethiopia Yohannis, Hunachew Kibret Fetene, Moges Zerihun Gebresilassie, Habtamu Gebremariam BMC Public Health Research Article BACKGROUND: Mortality rate under the age of five is the proportion of deaths of children below the age of 5 years out of 1000 live births. It is related with the living standard of a population, and it is taken as one of the health and socioeconomic status deterioration index. Mortality rate under the age of five also indicates a poor quality life standards of a population. It is very significantly high in Sub-Saharan African countries. Ethiopia is one of these Sub-Saharan African countries where mortality rate under the age five is high. This research work aims to identify the determinants and associated factors of under-five mortality in Ethiopia. METHODS: The data for this paper were gathered from the EDHS 2016, collected by CSA. In this study, count family models such as Poisson, negative binomial, zero-inflated Poisson and zero-inflated negative binomial regression were applied for analyzing the data. Each of these count models were compared with different statistical tests like log-likelihood ratio test, Akaike information criteria, mean absolute difference, Vuong test and observed versus predicted probability plot. RESULTS: The study revealed that as mothers’ age at first birth increased by one unit, the average number of under-five mortality rate decreased by 2.69%. In the same way the number of under-five mortality of Afar, Benishangul Gumuz and Dire Dawa were 1.3446, 1.6429 and 1.3320 times more likely to Tigray respectively. The risk of under-five mortality for primary and secondary education level of the mother was 28.31 and 40.96% less likely than to mothers who have no education respectively. CONCLUSION: From the result we found that, there were overabundance zeros and broad heterogeneity in the non-zero outcomes. Zero-inflated negative binomial regression model was found to best fit the data, and from the regression model, age of mothers at first birth, mother’s education level, place of residence and region were statistically significant factors of under-five mortality per mother. BioMed Central 2021-01-28 /pmc/articles/PMC7841993/ /pubmed/33509147 http://dx.doi.org/10.1186/s12889-021-10157-5 Text en © The Author(s) 2021 Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.
spellingShingle Research Article
Yohannis, Hunachew Kibret
Fetene, Moges Zerihun
Gebresilassie, Habtamu Gebremariam
Identifying the determinants and associated factors of mortality under age five in Ethiopia
title Identifying the determinants and associated factors of mortality under age five in Ethiopia
title_full Identifying the determinants and associated factors of mortality under age five in Ethiopia
title_fullStr Identifying the determinants and associated factors of mortality under age five in Ethiopia
title_full_unstemmed Identifying the determinants and associated factors of mortality under age five in Ethiopia
title_short Identifying the determinants and associated factors of mortality under age five in Ethiopia
title_sort identifying the determinants and associated factors of mortality under age five in ethiopia
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7841993/
https://www.ncbi.nlm.nih.gov/pubmed/33509147
http://dx.doi.org/10.1186/s12889-021-10157-5
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