Table 3 Multilevel multivariable logistic regression output for determinants of infant mortality among infants in Ethiopia, 2016
Variable | Crude OR (95% CI) | Model I AOR (95% CI) | Model II AOR (95% CI) | Model III AOR (95% CI) |
|---|---|---|---|---|
Age | ||||
15–19 | 1.00 | 1.00 | 1.00 | |
20–24 | 0.94 (0.59, 1.49) | 0.89 (0.55,1.44) | 0.92 (0.57, 1.48) | |
25–29 | 0.74 (0.47, 1.16) | 0.71 (0.43,1.18) | 0.77 (0.46, 1.29) | |
30–34 | 0.64 (0.40, 1.02) | 0.57 (0.33,1.00) | 0.66 (0.37, 1.16) | |
35–39 | 0.81 (0.50, 1.31) | 0.64 (0.35,1.14) | 0.75 (0.42, 1.36) | |
40–44 | 0.74 (0.42, 1.30) | 0.56 (0.28,1.10) | 0.66 (0.33, 1.32) | |
45–49 | 1.28 (0.65, 2.54) | 1.02 (0.46,2.27) | 1.22 (0.55, 2.72) | |
Mothers’ educational Status | ||||
No education | 1.49 (1.05, 2.11) | 1.51 (0.98,2.30) | 1.25 (0.80, 1.93) | |
Primary | 1.29 (0.88, 1.89) | 1.26 (0.83,1.90) | 1.12 (0.73, 1.71) | |
Secondary and above | 1.00 | 1.00 | 1.00 | |
Wealth Index | ||||
Poor | 1.44 (1.15, 1.79) | 1.20 (0.93,1.55) | 1.01 (0.76, 1.35) | |
Medium | 1.11 (0.81, 1.53) | 0.93 (0.67,1.31) | 0.83 (0.58, 1.18) | |
Rich | 1.00 | 1.00 | 1.00 | |
Sex of Household head | ||||
Male | 1.26 (0.99, 1.60) | 1.27 (0.99,1.62) | 1.28 (0.99, 1.65) | |
Female | 1.00 | 1.00 | 1.00 | |
Birth order | ||||
1 | 0.94 (0.70, 1.25) | 1.00 (0.64,1.56) | 1.13 (0.73, 1.77) | |
2–3 | 0.77 (0.59, 1.01) | 0.80 (0.55,1.17) | 0.89 (0.61, 1.30) | |
4–6 | 0.79 (0.60, 1.02) | 0.84 (0.62,1.15) | 0.89 (0.65, 1.22) | |
7+ | 1.00 | 1.00 | 1.00 | |
Child sex | ||||
Male | 1.52 (1.27, 1.83) | 1.50 (1.24, 1.82) | 1.51 (1.25, 1.82)* | |
Female | 1.00 | 1.00 | 1.00 | |
Twin birth | ||||
No | 1.00 | 1.00 | 1.00 | |
Yes | 5.44 (3.91, 7.58) | 5.53 (3.90,7.83) | 5.49 (3.88, 7.78)* | |
Duration of pregnancy | ||||
Pre-term | 8.16 (5.61, 11.87) | 7.80 (5.29,11.50) | 8.47 (5.71, 12.57)* | |
Term | 1.00 | 1.00 | 1.00 | |
Place of delivery | ||||
Home | 1.00 | 1.00 | 1.00 | |
Government hospital/health center | 0.77 (0.62, 0.97) | 0.80 (0.62,1.03) | 0.89 (0.68, 1.17) | |
Health post | 0.74 (0.34, 1.60) | 0.77 (0.35,1.70) | 0.78 (0.36, 1.72) | |
Private and NGO HF | 0.67 (0.37, 1.23) | 0.68 (0.35,1.33) | 0.76 (0.38, 1.52) | |
Residence | ||||
Urban | 1.00 | 1.00 | 1.00 | |
Rural | 1.74 (1.29, 2.33) | 1.83 (1.30, 2.57) | 1.76 (1.16, 2.67)* | |
Region | ||||
Tigray | 1.00 | 1.00 | 1.00 | |
Afar | 2.02 (1.24, 3.28) | 1.96 (1.21,3.18) | 1.66 (0.99, 2.76) | |
Amhara | 1.53 (0.92, 2.54) | 1.48 (0.89,2.45) | 1.34 (0.79, 2.25) | |
Oromia | 1.51 (0.95, 2.42) | 1.44 (0.90,2.29) | 1.26 (0.78, 2.05) | |
Somali | 2.14 (1.35, 3.37) | 2.18 (1.38,3.43) | 2.07 (1.29, 3.33)* | |
Benshangul | 1.84 (1.11, 3.06) | 1.75 (1.06,2.91) | 1.59 (0.94, 2.67) | |
SNNPR | 1.47 (0.90, 2.38) | 1.41 (0.87,2.29) | 1.42 (0.87, 2.33) | |
Gambela | 1.53 (0.88, 2.64) | 1.60 (0.93,2.76) | 1.28 (0.73, 2.27) | |
Harari | 1.93 (1.12, 3.33) | 2.15 (1.25,3.72) | 2.14 (1.22, 3.75)* | |
Addis Ababa | 0.94 (0.47, 1.88) | 1.60 (0.75,3.39) | 1.3 (0.58, 2.89) | |
Dire Dawa | 1.54 (0.86, 2.77) | 1.88 (1.03,3.40) | 1.91 (1.04, 3.51)* | |
Null Model | ||||
Intercept | 0.52 (0.39, 0.71) | 0.46 (0.31, 0.66) | 0.49 (0.36,0.69) | 0.45 (0.30, 0.67) |
Log-Likelihood | − 2021.15 | −2004.79 | − 1909.66 | − 1898.87 |
Deviance | 4042.3 | 4009.58 | 3819.32 | 3797.74 |