Table 3.
Univariable and multivariable random effects logistic regression models
| Univariable analysis n = 10 754 |
Multivariable analysis n = 10 721 |
|||||
|---|---|---|---|---|---|---|
| OR | 95% CI | p | OR | 95% CI | p | |
| Demographic | ||||||
| Unable to read | 2.66 | 2.37-2.98 | < 0.001 | 1.55 | 1.34-1.78 | < 0.001 |
| Educational level | 0.98 | 0.98-0.99 | < 0.001 | |||
| Nuclear family | 1.54 | 1.37-1.73 | < 0.001 | 1.01 | 0.86-1.18 | 0.907 |
| Maternal age | 1.03 | 1.02-1.04 | < 0.001 | 0.97 | 0.95-0.99 | 0.001 |
| Parity | 1.55 | 1.44-1.66 | < 0.001 | 1.56 | 1.40-1.74 | < 0.001 |
| Infant sex | 0.99 | 0.89-1.11 | 0.887 | |||
| Duration of residence | 1.00 | 1.00-1.00 | < 0.001 | |||
| Muslim | 1.14 | 0.98-1.32 | 0.08 | |||
| Socioeconomic | ||||||
| Home ownership | 0.55 | 0.50-0.62 | < 0.001 | 0.93 | 0.77-1.12 | 0.457 |
| Ration card | 0.50 | 0.44-0.56 | < 0.001 | 0.93 | 0.78-1.12 | 0.466 |
| Socioeconomic quintile | 0.66 | 0.63-0.70 | < 0.001 | 0.84 | 0.79-0.89 | < 0.001 |
| Environmental | ||||||
| Temporary house (kaccha) | 1.74 | 1.52-1.99 | < 0.001 | 1.27 | 1.07-1.50 | 0.005 |
| Informal water supply | 1.38 | 1.19-1.60 | < 0.001 | 1.20 | 0.96-1.37 | 0.043 |
| Informal electricity supply | 1.76 | 1.54-2.00 | < 0.001 | 1.15 | 0.96-1.37 | 0.124 |
| Annual migration > 25% | 2.55 | 1.51-4.31 | < 0.001 | 1.61 | 1.09-2.36 | 0.016 |
| Residence near dump, marsh, creek | 2.59 | 1.25-5.38 | 0.011 | 1.71 | 1.03-2.85 | 0.039 |
| Residence by railway line | 0.58 | 0.24-1.40 | 0.222 | |||
| Healthcare | ||||||
| Registration for delivery | 0.03 | 0.02-0.03 | < 0.001 | 0.057 | 0.05-0.07 | < 0.001 |
| < 3 antenatal visits | 11.93 | 10.40-13.68 | < 0.001 | 2.73 | 2.27-3.27 | < 0.001 |
Random effects logistic regression models with home delivery as the dependent variable, for
10 754 deliveries in 48 Mumbai slums, 2005-2007.
OR: odds ratio; CI: confidence interval.