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Table 3 Results of logistic regression analysis for the odds of ranking pharmacare first for new government spending (No=0, Yes=1)

From: Public preferences for government spending in Canada

Characteristics Model 1: Unadjusted OR† Model 2: Adjusted OR‡
  Odds ratio [95% CI] P Odds ratio [95% CI] P
Sex     
Male .98 [.73, 1.32] .905 .89 [.62,1.26] .494
Female (reference)     
Age     
18 29 .43 [.24, .77] .005 .30 [.15,.62] .001
30–44 .81 [.50, 1.32] .402 .53 [.30,.94] .028
45–64 1.26 [.80, 1.98] .320 .85 [.50,1.44] .542
65+ (reference)     
Household income     
<$20-000 1.16 [.66,2.04] .604 .98 [.51,1.86] .938
$20,000-<$40,000 .92 [.57,1.47] .713 .91 [.52,1.56] .719
$40,000-<$60,000 1.16 [.73, 1.84] .518 .99 [.59,1.66] .989
$60,000-<$80,000 1.52 [.92, 2.52] .106 1.64 [.96,2.81] .071
$80,000+ (reference)     
Educational attainment     
<High-school 1.02 [.71, 1.46]   1.03 [.66,1.59] .897
College .90 [.69, 1.32] .583 .933 [.60,1.46] .763
University/Post-grad (reference)     
Residence status     
Rural .92 [.61, 1.37] .671 [Not included in model]
Urban (reference)     
  1. † Model 1 entered all variables independently.
  2. ‡ Model 2 entered variables significant (p<0.05) deemed important from model 1.