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. 2014 Mar 20;14:266. doi: 10.1186/1471-2458-14-266

Table 4.

Unadjusted and fully adjusted odds ratios and 95% confidence intervals for the risk of under-five mortality by background characteristics (DRC-DHS, 2007)

Variable Unadjusted OR & 95% CI Fully adjusted OR & 95% CI
National
 
 
Type of place of residence
 
 
Urban
1.00
1.00
Rural
1.70 (1.47, 1.96)
1.09 (0.98, 1.25)
Sex of child
 
 
Male
1.09 (0.96, 1.25)
1.03 (0.96, 1.13)
Female
1.00
1.00
Preceding birth interval
 
 
< 24 months
1.65 (1.43, 1.91)
1.14 (1.04, 1.26)
≥ 24 months
1.00
1.00
Mother’s age at child’s birth
 
 
≤ 20 years
1.14 (.98, 1.33)
See Figure 2
21–35 years
1.00
 
Antenatal visits
 
 
No antenatal visits
1.52 (1.15, 2.01)
1.01 (0.89, 1.14)
≥ 1 antenatal visit
1.00
1.00
Place of delivery
 
 
Hospital
1.00
1.00
Home
1.66 (1.44, 1.91)
1.13 (1.01, 1.27)
Asset index
 
 
Low income household
1.65 (1.41, 1.96)
1.04 (0.92, 1.16)
Middle income household
1.29 (1.06, 1.57)
1.03 (0.90, 1.18)
Higher income household
1.00
1.00
Mother’s educational attainment
 
 
Up to primary
1.65 (1.42, 1.93)
1.01 (0.93, 1.12)
Secondary or higher
1.00
1.00
Marital status of mother
 
 
Single
1.15 (0.93, 1.42)
1.16 (1.03, 1.33)
Married
1.00
1.00
Province
 
 
Kinshasa
0.85 (0.59, 1.23)
0.98 (0.86, 1.08)
Bas Congo
1.37 (0.95, 1.97)
1.01 (0.92, 1.13)
Bandundu
1.36 (0.96, 1.92)
0.96 (0.87, 1.05)
Équateur
1.65 (1.18, 2.30)
0.99 (0.90, 1.10)
Orientale
1.59 (1.11, 2.27)
1.00 (0.89, 1.10)
North Kivu
1.00
0.92 (0.72, 1.02)
Maniema
1.89 (1.36, 2.63)
1.01 (0.92, 1.11)
South Kivu
1.58 (1.13, 2.23)
1.04 (0.94, 1.15)
Katanga
1.71 (1.23, 2.39)
1.02 (0.92, 1.13)
Kasaï-Oriental
1.76 (1.27, 2.44)
1.04 (0.95, 1.16)
Kasaï-Occidental 1.47 (1.04, 2.07) 1.01 (0.90, 1.11)

Unadjusted marginal odds ratios (OR) from standard logistic regression models. North Kivu province was used as the reference category because it had the lowest crude under-5 mortality (see Table 1).

Spatially adjusted posterior odds ratios (OR) from Bayesian geo-additive regression models after controlling for nonlinear effect of age, categorical variables and the province of residence (spatial effects).