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Table 3 Logistic regression models of predictors associated with support for harm reduction programs in British Columbia (n = 1834)

From: A cross-sectional study of public attitudes towards safer drug use practices in British Columbia, Canada

Variables

Unadjusted

p-value1

Adjusted

p-value2

OR

95% CI

OR

95% CI

Sex

      

 Female (referent) vs. Male

0.76

0.61, 0.94

0.010

0.74

0.59, 0.92

0.006

Age

      

 19 – 34 (referent)

      

 35 – 54

0.90

0.69, 1.20

0.481

0.89

0.67, 1.18

0.412

 55+

0.64

0.49, 0.83

<0.001

0.63

0.48, 0.83

0.001

Education

      

 = University graduate (referent)

      

 < High school graduation

0.49

0.32, 0.76

0.001

0.51

0.33, 0.79

0.002

 = High school

0.46

0.46, 0.86

0.004

0.70

0.51, 0.97

0.030

 = Some post secondary

0.60

0.60, 1.16

0.271

0.88

0.63, 1.23

0.443

 = Certificate/ diploma program

0.52

0.52, 0.93

0.014

0.69

0.51, 0.92

0.012

Health authority n (%)

      

 VCH (referent)

      

 IH

0.91

0.64, 1.29

0.597

0.99

0.69, 1.41

0.934

 FH

0.57

0.43, 0.75

<0.001

0.59

0.44, 0.78

<0.001

 VIH

1.02

0.72, 1.45

0.914

1.12

0.78, 1.60

0.545

 NH

0.92

0.56, 1.53

0.757

1.02

0.61, 1.69

0.948

  1. 1p-values from single d.f., Wald χ2-tests for each parameter in single predictor logistic regression models.
  2. 2p-values from single d.f. Wald χ2-tests for each parameter in a multiple predictor logistic regression model including Sex, Age, Education, and Health Authority.