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Table 3 Univariable and multivariable random effects logistic regression models

From: Prospective study of determinants and costs of home births in Mumbai slums

  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
  1. Random effects logistic regression models with home delivery as the dependent variable, for
  2. 10 754 deliveries in 48 Mumbai slums, 2005-2007.
  3. OR: odds ratio; CI: confidence interval.