Background: Infant mortality rate has dramatically been fallen in the last two decades globally. Ethiopia, with infant mortality rate of 34 deaths per 1000 live births, is among the countries with high infant mortality in Africa. The main purpose of this study was to investigate predictors of infant mortality in Benshangul-Gumuz region, Ethiopia. Methods: The source of data for this study was 2019 Ethiopian Mini Demographic and Health Survey (EMDHS). Multivariable logistic regression model was used to identify the predictors of infant mortality. Results: Multiple births and infants born from mothers aged 34 years and older were at higher risk of dying before celebrating their first birthdays. whereas females, infants born from mothers with secondary and higher education, infants born from mothers who had ANC visits of at least one time, and infants born at health institution were at lower risk of dying before celebrating their first birthdays. Conclusions: Infant mortality rate in region was high. Birth type, sex of child, maternal age, maternal educational level, place of delivery, and antenatal care visits were predictors of infant mortality in Benshangul-Gumuz region, Ethiopia. Hence, health institutional delivery is recommended in the region to minimize the infant mortality rate in the region.
| Published in | Journal of Health and Environmental Research (Volume 9, Issue 3) |
| DOI | 10.11648/j.jher.20230903.13 |
| Page(s) | 90-94 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2023. Published by Science Publishing Group |
Predictors, Infant Mortality, Benshangul-Gumuz Region, Ethiopia
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APA Style
Temesgen Senbeto, Gizachew Gobebo, Woldemariam Erkalo. (2023). Infant Mortality and Its Predictors in Benshangul-Gumuz Region, Ethiopia: Further Analysis of 2019 Ethiopian Mini Demographic and Health Survey. Journal of Health and Environmental Research, 9(3), 90-94. https://doi.org/10.11648/j.jher.20230903.13
ACS Style
Temesgen Senbeto; Gizachew Gobebo; Woldemariam Erkalo. Infant Mortality and Its Predictors in Benshangul-Gumuz Region, Ethiopia: Further Analysis of 2019 Ethiopian Mini Demographic and Health Survey. J. Health Environ. Res. 2023, 9(3), 90-94. doi: 10.11648/j.jher.20230903.13
AMA Style
Temesgen Senbeto, Gizachew Gobebo, Woldemariam Erkalo. Infant Mortality and Its Predictors in Benshangul-Gumuz Region, Ethiopia: Further Analysis of 2019 Ethiopian Mini Demographic and Health Survey. J Health Environ Res. 2023;9(3):90-94. doi: 10.11648/j.jher.20230903.13
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Download@article{10.11648/j.jher.20230903.13,
author = {Temesgen Senbeto and Gizachew Gobebo and Woldemariam Erkalo},
title = {Infant Mortality and Its Predictors in Benshangul-Gumuz Region, Ethiopia: Further Analysis of 2019 Ethiopian Mini Demographic and Health Survey},
journal = {Journal of Health and Environmental Research},
volume = {9},
number = {3},
pages = {90-94},
doi = {10.11648/j.jher.20230903.13},
url = {https://doi.org/10.11648/j.jher.20230903.13},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jher.20230903.13},
abstract = {Background: Infant mortality rate has dramatically been fallen in the last two decades globally. Ethiopia, with infant mortality rate of 34 deaths per 1000 live births, is among the countries with high infant mortality in Africa. The main purpose of this study was to investigate predictors of infant mortality in Benshangul-Gumuz region, Ethiopia. Methods: The source of data for this study was 2019 Ethiopian Mini Demographic and Health Survey (EMDHS). Multivariable logistic regression model was used to identify the predictors of infant mortality. Results: Multiple births and infants born from mothers aged 34 years and older were at higher risk of dying before celebrating their first birthdays. whereas females, infants born from mothers with secondary and higher education, infants born from mothers who had ANC visits of at least one time, and infants born at health institution were at lower risk of dying before celebrating their first birthdays. Conclusions: Infant mortality rate in region was high. Birth type, sex of child, maternal age, maternal educational level, place of delivery, and antenatal care visits were predictors of infant mortality in Benshangul-Gumuz region, Ethiopia. Hence, health institutional delivery is recommended in the region to minimize the infant mortality rate in the region.},
year = {2023}
}
TY - JOUR T1 - Infant Mortality and Its Predictors in Benshangul-Gumuz Region, Ethiopia: Further Analysis of 2019 Ethiopian Mini Demographic and Health Survey AU - Temesgen Senbeto AU - Gizachew Gobebo AU - Woldemariam Erkalo Y1 - 2023/10/14 PY - 2023 N1 - https://doi.org/10.11648/j.jher.20230903.13 DO - 10.11648/j.jher.20230903.13 T2 - Journal of Health and Environmental Research JF - Journal of Health and Environmental Research JO - Journal of Health and Environmental Research SP - 90 EP - 94 PB - Science Publishing Group SN - 2472-3592 UR - https://doi.org/10.11648/j.jher.20230903.13 AB - Background: Infant mortality rate has dramatically been fallen in the last two decades globally. Ethiopia, with infant mortality rate of 34 deaths per 1000 live births, is among the countries with high infant mortality in Africa. The main purpose of this study was to investigate predictors of infant mortality in Benshangul-Gumuz region, Ethiopia. Methods: The source of data for this study was 2019 Ethiopian Mini Demographic and Health Survey (EMDHS). Multivariable logistic regression model was used to identify the predictors of infant mortality. Results: Multiple births and infants born from mothers aged 34 years and older were at higher risk of dying before celebrating their first birthdays. whereas females, infants born from mothers with secondary and higher education, infants born from mothers who had ANC visits of at least one time, and infants born at health institution were at lower risk of dying before celebrating their first birthdays. Conclusions: Infant mortality rate in region was high. Birth type, sex of child, maternal age, maternal educational level, place of delivery, and antenatal care visits were predictors of infant mortality in Benshangul-Gumuz region, Ethiopia. Hence, health institutional delivery is recommended in the region to minimize the infant mortality rate in the region. VL - 9 IS - 3 ER -
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