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. Author manuscript; available in PMC: 2023 Dec 8.
Published in final edited form as: Am J Addict. 2023 Mar 10;32(4):333–342. doi: 10.1111/ajad.13390

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.

a

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.

b

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.

c

Model included age, sex, race/ethnicity, education, income, health insurance, and employment status as covariates.

d

Cannabis marketing sources were analyzed in the same model.