TABLE 4.

Cumulative Logistic Regression Models Explaining Frequency of Marijuana Use, Adjusting for All Other Covariates

	Frequency of Lifetime Use		Frequency of Last-Year Use		Frequency of Last 30-Day Use
	AOR	(95% CI)	AOR	(95% CI)	AOR	(95% CI)
Favor for Marijuana Policy
It Should be a Crime	1.00		1.00		1.00
It Should be Entirely Legal	6.92***	(5.80, 8.25)	9.49***	(7.57, 11.89)	14.39***	(9.66, 21.41)
It Should be a Minor Violation	2.86***	(2.40, 3.41)	3.75***	(2.99, 4.71)	5.52***	(3.68, 8.27)
Don't Know	1.50***	(1.20, 1.87)	1.80***	(1.36, 2.38)	2.78***	(1.73, 4.47)
Should it be Legal to Sell (if Legal)
No	1.00		1.00		1.00
Adults Only	1.23**	(1.08, 1.40)	1.29***	(1.11, 1.49)	1.32**	(1.10, 1.59)
Yes, Anyone	1.42***	(1.18, 1.70)	1.70***	(1.39, 2.07)	2.12***	(1.68, 2.68)
Don't Know	1.12	(0.93, 1.35)	1.23*	(1.00, 1.51)	1.17	(0.90, 1.53)

Note. All findings are adjusted for covariates in previous models: cohort, age, sex, race, population density, political affiliation, religiosity, parent education, lifetime cigarette use, 30-day alcohol use and friend disapproval of marijuana use. 30-day marijuana use was not included as marijuana frequency was the outcome variable. The models also included missing data indicators. Model results derived using the case-complete dataset (without missing data) were nearly identical.

^*p < .05

^**p < 0.01

^***p < 0.001