Factors affecting infant mortality in the general population: evidence from the 2016 Ethiopian demographic and health survey (EDHS); a multilevel analysis

Abstract Background Infant mortality is one of the leading public health problems globally; the problem is even more staggering in low-income countries. In Ethiopia seven in ten child deaths occurred during infancy in 2016. Even though the problem is devastating, updated information about the major...

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Main Authors: Adhanom Gebreegziabher Baraki (Author), Temesgen Yihunie Akalu (Author), Haileab Fekadu Wolde (Author), Ayenew Molla Lakew (Author), Kedir Abdela Gonete (Author)
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Published: BMC, 2020-05-01T00:00:00Z.
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100 1 0 |a Adhanom Gebreegziabher Baraki  |e author 
700 1 0 |a Temesgen Yihunie Akalu  |e author 
700 1 0 |a Haileab Fekadu Wolde  |e author 
700 1 0 |a Ayenew Molla Lakew  |e author 
700 1 0 |a Kedir Abdela Gonete  |e author 
245 0 0 |a Factors affecting infant mortality in the general population: evidence from the 2016 Ethiopian demographic and health survey (EDHS); a multilevel analysis 
260 |b BMC,   |c 2020-05-01T00:00:00Z. 
500 |a 10.1186/s12884-020-03002-x 
500 |a 1471-2393 
520 |a Abstract Background Infant mortality is one of the leading public health problems globally; the problem is even more staggering in low-income countries. In Ethiopia seven in ten child deaths occurred during infancy in 2016. Even though the problem is devastating, updated information about the major determinants of infant mortality which is done on a countrywide representative sample is lacking. Therefore, this study was aimed to identify factors affecting infant mortality among the general population of Ethiopia, 2016. Methods A Community-based cross-sectional study was conducted in all regions of Ethiopia from January 18 to June 27, 2016. A total of 10,641 live births were included in the analysis. Data were analyzed and reported with both descriptive and analytic statistics. Bivariable and multivariable multilevel logistic regression models were fitted by accounting correlation of individuals within a cluster. Adjusted odds ratio (AOR) with 95% confidence interval was reported to show the strength of the association and its significance. Results A total of 10,641 live-births from the Ethiopian demographic and health survey (EDHS) data were included in the analysis. Being male infant (AOR = 1.51; 1.25, 1.82), Multiple birth (AOR = 5.49; 95% CI, 3.88-7.78), Preterm (AOR = 8.47; 95% CI 5.71, 12.57), rural residents (AOR = 1.76; 95% CI; 1.16, 2.67), from Somali region (AOR = 2.07; 1.29, 3.33), Harari (AOR = 2.14; 1.22, 3.75) and Diredawa (AOR = 1.91; 1.04, 3.51) were found to be statistically significantly associated with infant mortality. Conclusion The study has assessed the determinants of infant mortality based on EDHS data. Sex of the child, multiple births, prematurity, and residence were notably associated with infant mortality. The risk of infant mortality has also shown differences across different regions. Since infant mortality is still major public health problem interventions shall be done giving more attention to infants who were delivered multiple and who are preterm. 
546 |a EN 
690 |a Infant mortality 
690 |a Risk factors 
690 |a Ethiopia 
690 |a Gynecology and obstetrics 
690 |a RG1-991 
655 7 |a article  |2 local 
786 0 |n BMC Pregnancy and Childbirth, Vol 20, Iss 1, Pp 1-8 (2020) 
787 0 |n http://link.springer.com/article/10.1186/s12884-020-03002-x 
787 0 |n https://doaj.org/toc/1471-2393 
856 4 1 |u https://doaj.org/article/8dc7f2021d6c4edc93615705e450d6ab  |z Connect to this object online.