Table 3 Logistic regression modeling for campaign exposure outcome (n = 5622)

Age

Yes

 18–24 (reference)

1

<0.001

1

<0.001

 25–34

0.61

0.46–0.82

0.001

0.62

0.45–0.85

0.003

 35–39

0.69

0.51–0.94

0.02

0.73

0.53–1.01

0.06

 40–44

0.84

0.63–1.12

0.24

0.92

0.67–1.26

0.60

 45–54

0.86

0.65–1.14

0.29

0.95

0.70–1.28

0.72

 55–64

1.00

0.76–1.32

1.00

1.04

0.77–1.39

0.82

 65+

0.98

0.74–1.30

0.89

0.96

0.71–1.30

0.80

Region

No

 Urban (reference)

1

 Rural

1.12

0.99–1.24

0.07

Language

No^a

 English/French (reference)

1

 Other

1.41

1.06–1.87

0.02

N people in household

0.99

0.94–1.04

0.55

No

Educational level

Yes

 High School Diploma or Lower (reference)

1

0.06

1

0.05

 College or Technical Training

1.04

0.91–1.18

0.61

1.08

0.94–1.25

0.28

 University Education

1.17

1.02–1.34

0.03

1.22

1.04–1.43

0.02

Employment

No^c

 Employed full-time or part-time (reference)

1

 Other (Homemaker/Retired/Unemployed/Student)

1.18

1.01–1.37

0.04

Occupation

Yes

 Manual workers (reference)

1

0.003

1

0.26

 Office workers

0.93

0.74–1.17

0.53

0.91

0.72–1.15

0.43

 Sales & Services workers

1.05

0.80–1.36

0.74

1.03

0.79–1.35

0.83

 Professional, Science & Technology workers

1.14

0.91–1.43

0.27

1.07

0.84–1.38

0.57

 Other (Homemaker/Student/Retired/Unemployed)

1.24

1.01–1.52

0.04

1.10

0.89–1.38

0.38

Marital status

No

 Single (reference)

1

0.44

 Married/Common law union

0.97

0.84–1.13

0.70

 Other (Divorced/Separated/Widowed)

1.07

0.89–1.29

0.49

Income category

No

 $19.999 or less (reference)

1

0.76

 $20.000–$39.999

1.00

0.74–1.36

0.98

 $40.000–$59.999

1.06

0.79–1.42

0.71

 $60.000–$79.999

1.11

0.82–1.50

0.50

 $80.000–$99.999

0.96

0.71–1.31

0.80

 $100.000 or more

0.98

0.74–1.30

0.88