TABLE 3.
Linear and logistic regression models of associations of cannabis marketing exposure with attitudes and use behavior in the full sample.
| Variable | Positive attitudes about cannabis usea | Interest in obtaining a medical cannabis licenseb | Cannabis harm perceptions (no/a little vs. some/a lot)a AOR (95% CI) | Past 30-day cannabis usec AOR (95% CI) | ||||||
|---|---|---|---|---|---|---|---|---|---|---|
| b | SE | β | P | b | SE | β | P | |||
| Any source of marketing | ||||||||||
| No | Ref | Ref | Ref | Ref | ||||||
| Yes | 0.18 | 0.03 | .07 | <.0001 | 0.26 | 0.04 | .08 | <.0001 | 1.15 (0.99,1.34) | 2.65 (2.27, 3.10) |
| Number of marketing sources | 0.09 | 0.01 | .11 | <.0001 | 0.10 | 0.01 | .10 | <.0001 | 1.05 (1.00, 1.10) | 1.30 (1.25, 1.36) |
| Specific sources of cannabis marketing exposure d | ||||||||||
| Outdoor marketing | ||||||||||
| No | Ref | Ref | Ref | Ref | ||||||
| Yes | 0.12 | 0.03 | .05 | <.001 | 0.05 | 0.04 | .02 | .24 | 1.34 (1.14, 1.56) | 1.38 (1.19, 1.60) |
| Social media marketing | ||||||||||
| No | ||||||||||
| Yes | 0.15 | 0.03 | .07 | <.001 | 0.23 | 0.05 | .08 | <.001 | 1.22 (1.03, 1.44) | 1.83 (1.58, 2.12) |
| Print marketing | ||||||||||
| No | ||||||||||
| Yes | −0.07 | 0.03 | −.03 | .03 | 0.00 | 0.05 | .00 | .98 | 0.72 (0.61, 0.85) | 1.10 (0.96, 1.28) |
| Internet marketing | ||||||||||
| No | ||||||||||
| Yes | 0.09 | 0.03 | .04 | <.001 | 0.12 | 0.05 | .04 | .01 | 1.02 (0.86, 1.21) | 1.04 (0.89, 1.21) |
Note: Bolded text indicates significance for AOR (p < .05). Cannabis harm perceptions coded as 1 = no/a little and 0 = some/a lot. Abbreviations: b, unstandardized beta; β, standardized beta.
Model included age, sex, race/ethnicity, education, income, health insurance, employment status, past 30-day cannabis use, and possession of medical cannabis license as covariates.
Examined only among respondents without a medical cannabis license. Model included age, sex, race/ethnicity, education, income, health insurance, employment status, and past 30-day cannabis use as covariates.
Model included age, sex, race/ethnicity, education, income, health insurance, and employment status as covariates.
Cannabis marketing sources were analyzed in the same model.