Cargando…

Zero-inflated Poisson regression analysis of factors associated with under-five mortality in Ethiopia using 2019 Ethiopian mini demographic and health survey data

BACKGROUND: Remarkable reduction in global under-five mortality has been seen over the past two decades. However, Ethiopia is among the five countries which account for about half (49%) of all under-five mortality worldwide. This study aimed at identifying factors associated with under-five children...

Descripción completa

Detalles Bibliográficos
Autores principales: Argawu, Alemayehu Siffir, Mekebo, Gizachew Gobebo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10637676/
https://www.ncbi.nlm.nih.gov/pubmed/37948385
http://dx.doi.org/10.1371/journal.pone.0291426
_version_ 1785133451864702976
author Argawu, Alemayehu Siffir
Mekebo, Gizachew Gobebo
author_facet Argawu, Alemayehu Siffir
Mekebo, Gizachew Gobebo
author_sort Argawu, Alemayehu Siffir
collection PubMed
description BACKGROUND: Remarkable reduction in global under-five mortality has been seen over the past two decades. However, Ethiopia is among the five countries which account for about half (49%) of all under-five mortality worldwide. This study aimed at identifying factors associated with under-five children mortality in Ethiopia using the 2019 Ethiopia mini demography and health survey data. METHODS: The most recent national representative demography and health survey data of Ethiopia, 2019 Ethiopia mini demography and health survey data, were used for this study. Count data regression models were applied to identify the factors associated with under-five children mortality. Statistical significance was declared at P-value less than 0.05. RESULTS: Zero-Inflated Poisson (ZIP) regression model was found to be the best model compared to other count regression models based on models comparison Criteria. The ZIP model revealed that decreased risk of under-five mortality was associated with mothers aged 25–34 years, unmarried mothers, mothers delivered in health facility, mothers used Pill/IUD, mothers who had larger number of children at home whereas increased risk of under-five mortality was associated with older mothers at their first births, mothers from rural areas, mothers travel for 1–30 min and >30 min to get drinking water, mothers used charcoal and wood, children with higher birth order and multiple births. CONCLUSIONS: In this study, place of residence, region, place of delivery, religion, age of mother, mother’s age at first birth, marital status, birth order, birth type, current contraceptive type used, type of cooking fuel, time to get drinking water, and number of children at home were statistically significant factors associated with under-five mortality in Ethiopia. Thus, the Ethiopian Ministry of Health and other concerned bodies are recommended to encourage mothers to deliver at health institutions, give awareness for mothers to use Pill/IUD contraceptive type, and facilitate rural areas to have electricity and drinking water near to homes so as to minimize the under-five mortality to achieve the sustainable development goal.
format Online
Article
Text
id pubmed-10637676
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Public Library of Science
record_format MEDLINE/PubMed
spelling pubmed-106376762023-11-11 Zero-inflated Poisson regression analysis of factors associated with under-five mortality in Ethiopia using 2019 Ethiopian mini demographic and health survey data Argawu, Alemayehu Siffir Mekebo, Gizachew Gobebo PLoS One Research Article BACKGROUND: Remarkable reduction in global under-five mortality has been seen over the past two decades. However, Ethiopia is among the five countries which account for about half (49%) of all under-five mortality worldwide. This study aimed at identifying factors associated with under-five children mortality in Ethiopia using the 2019 Ethiopia mini demography and health survey data. METHODS: The most recent national representative demography and health survey data of Ethiopia, 2019 Ethiopia mini demography and health survey data, were used for this study. Count data regression models were applied to identify the factors associated with under-five children mortality. Statistical significance was declared at P-value less than 0.05. RESULTS: Zero-Inflated Poisson (ZIP) regression model was found to be the best model compared to other count regression models based on models comparison Criteria. The ZIP model revealed that decreased risk of under-five mortality was associated with mothers aged 25–34 years, unmarried mothers, mothers delivered in health facility, mothers used Pill/IUD, mothers who had larger number of children at home whereas increased risk of under-five mortality was associated with older mothers at their first births, mothers from rural areas, mothers travel for 1–30 min and >30 min to get drinking water, mothers used charcoal and wood, children with higher birth order and multiple births. CONCLUSIONS: In this study, place of residence, region, place of delivery, religion, age of mother, mother’s age at first birth, marital status, birth order, birth type, current contraceptive type used, type of cooking fuel, time to get drinking water, and number of children at home were statistically significant factors associated with under-five mortality in Ethiopia. Thus, the Ethiopian Ministry of Health and other concerned bodies are recommended to encourage mothers to deliver at health institutions, give awareness for mothers to use Pill/IUD contraceptive type, and facilitate rural areas to have electricity and drinking water near to homes so as to minimize the under-five mortality to achieve the sustainable development goal. Public Library of Science 2023-11-10 /pmc/articles/PMC10637676/ /pubmed/37948385 http://dx.doi.org/10.1371/journal.pone.0291426 Text en © 2023 Argawu, Mekebo 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
Argawu, Alemayehu Siffir
Mekebo, Gizachew Gobebo
Zero-inflated Poisson regression analysis of factors associated with under-five mortality in Ethiopia using 2019 Ethiopian mini demographic and health survey data
title Zero-inflated Poisson regression analysis of factors associated with under-five mortality in Ethiopia using 2019 Ethiopian mini demographic and health survey data
title_full Zero-inflated Poisson regression analysis of factors associated with under-five mortality in Ethiopia using 2019 Ethiopian mini demographic and health survey data
title_fullStr Zero-inflated Poisson regression analysis of factors associated with under-five mortality in Ethiopia using 2019 Ethiopian mini demographic and health survey data
title_full_unstemmed Zero-inflated Poisson regression analysis of factors associated with under-five mortality in Ethiopia using 2019 Ethiopian mini demographic and health survey data
title_short Zero-inflated Poisson regression analysis of factors associated with under-five mortality in Ethiopia using 2019 Ethiopian mini demographic and health survey data
title_sort zero-inflated poisson regression analysis of factors associated with under-five mortality in ethiopia using 2019 ethiopian mini demographic and health survey data
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10637676/
https://www.ncbi.nlm.nih.gov/pubmed/37948385
http://dx.doi.org/10.1371/journal.pone.0291426
work_keys_str_mv AT argawualemayehusiffir zeroinflatedpoissonregressionanalysisoffactorsassociatedwithunderfivemortalityinethiopiausing2019ethiopianminidemographicandhealthsurveydata
AT mekebogizachewgobebo zeroinflatedpoissonregressionanalysisoffactorsassociatedwithunderfivemortalityinethiopiausing2019ethiopianminidemographicandhealthsurveydata