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

被引:15
|
作者
Baraki, Adhanom Gebreegziabher [1 ]
Akalu, Temesgen Yihunie [1 ]
Wolde, Haileab Fekadu [1 ]
Lakew, Ayenew Molla [1 ]
Gonete, Kedir Abdela [2 ]
机构
[1] Univ Gondar, Coll Med & Hlth Sci, Inst Publ Hlth, Dept Epidemiol & Biostat, Gondar, Ethiopia
[2] Univ Gondar, Coll Med & Hlth Sci, Inst Publ Hlth, Dept Human Nutr, Gondar, Ethiopia
关键词
Infant mortality; Risk factors; Ethiopia; LATE-PRETERM INFANTS; CHILD-MORTALITY; DETERMINANTS; BIRTH;
D O I
10.1186/s12884-020-03002-x
中图分类号
R71 [妇产科学];
学科分类号
100211 ;
摘要
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.
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页数:8
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