Table 3.
Bi-variable and multivariable logistic regression analysis of skilled birth attendance in a community survey in Jubek State, South Sudan
| Characteristic | Bi-Variable | Multivariable Model 2 |
|---|---|---|
| N = 810 | N = 810 | |
| OR (95%CI) | AOR (95%CI) | |
| Mother’s age | ||
| ≤19 | 1 | 1 |
| 20–24 | 0.93 (0.54, 1.60) | 1.18 (0.55, 2.52) |
| 25–29 | 0.44 (0.25, 0.75) | 0.88 (0.37, 2.12) |
| 30–34 | 0.51 (0.22, 1.18) | 1.10 (0.40, 3.08) |
| ≥35 | 0.21 (0.07, 0.61) | 0.61 (0.17, 2.14) |
| Marital status | ||
| Single | 1 | |
| Married | 0.48 (0.18, 1.3) | - |
| Mother education | ||
| No formal education | 1 | 1 |
| Primary | 5.2 (3.1, 8.7) | 3.1 (1.79, 5.37) |
| ≥Secondary | 22.9 (11.4, 45.9) | 8.2 (3.18, 21.27) |
| Mother employment | ||
| Unemployed | 1 | 1 |
| Employed | 1.6 (0.89, 3.1) | 1.05 (0.53, 2.08) |
| Antenatal care visits | ||
| None | 1 | 1 |
| 1–3 | 8.7 (3.5, 21.9) | 3.93 (1.52, 10.15) |
| ≥4 | 36.4 (11.9, 111.7) | 15.17 (5.53, 41.58) |
| Parity | ||
| >1 | 1 | 1 |
| 1 | 2.7 (1.8, 4.3) | 2.9 (1.65, 5.16) |
| Wealth Quintiles | ||
| Poorest (Q1) | 1 | 1 |
| Poor (Q2) | 2.5 (1.3, 4.8) | 0.61 (0.80, 3.54) |
| Medium (Q3) | 1.6 (0.67, 3.9) | 1.26 (0.55, 2.85) |
| Less poor (Q4) | 4.3 (2.2, 8.3) | 2.20 (1.123, 4.30) |
| Wealthiest (Q5) | 12.6 (6.8, 23.2) | 4.64 (2.38, 9.03) |