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Table 3 Results of multivariate model of best fit, derived through logistic regression, showing odds ratios (OR) with 95% confidence intervals, for the factors with significant and independent effects on the likelihood of developing asthma.

From: Influence of maternal and perinatal factors on subsequent hospitalisation for asthma in children: evidence from the Oxford record linkage study

   All asthma Aged 0-1 at asthma admission Aged 2+ at asthma admission
Characteristics   OR 95% C.I. OR 95% C.I. OR 95% C.I
Maternal asthma No 1.00 - 1.00 - 1.00 -
  Yes 3.11 2.67-3.63 3.89 2.71-5.57 3.07 2.61-3.60
Social class 1-2 0.81 0.74-0.89 0.76 0.58-0.98 0.81 0.74-0.89
  3 1.00 - 1.00 - 1.00 -
  4-5 1.07 0.96-1.20 1.09 0.82-1.47 1.04 0.94-1.16
Sex Female 1.00 - 1.00 - 1.00 -
  Male 1.82 1.66-1.99 2.08 1.64-2.65 1.53 1.41-1.66
Birth weight (g) 1000-2999 1.20 1.09-1.33 1.42 1.08-1.86 1.21 1.10-1.33
  3000-3999 1.00   1.00   1.00 -
  4000-5499 1.01 0.87-1.17 0.88 0.58-1.34 1.06 0.92-1.22
Gestation age (wks) 24-37 - - 1.59 1.15-2.20 - -
  38-41 - - 1.00 - - -
  42-47 - - 1.28 0.89-1.83 - -
Smoking No 1.00 - 1.00 - - -
  Yes 1.13 1.02-1.25 1.35 1.04-1.74 - -
Parity 0 - - 1.00 - - -
  1    1.34 1.03-1.74   
  2    1.38 0.99-1.93   
  3    2.19 1.42-3.38   
  4+ - - 2.01 1.07-3.76 - -
Caesarean No 1.00 - - - - -
  Yes 1.18 1.02-1.34 - - - -
  1. All variables that were significant (p < 0.05) in the univariate analysis (see Table 2) were included in the initial model and the variables that were not significant were removed. In further modelling, each variable that was not significant in univariate analysis was re-introduced, one at a time, into the model. The purpose of this was to test whether any variable, not significant in univariate analysis, became so when modelled with the other significant variables.