. Author manuscript; available in PMC: 2023 Feb 1.

Published in final edited form as: Exp Clin Psychopharmacol. 2022 May 19;31(1):238–247. doi: 10.1037/pha0000570

Table 5.

Negative Binomial Regression Models Predicting Concurrent and Prospective Cannabis Use and Consequences

	BL cannabis use (n = 115)		BL cannabis consequences (n = 115)
Variable	B	SE	B	SE
Age	−0.01	0.12	−0.08	0.07
Sex	0.28	0.21	0.06	0.14
BL amplitude	0.38^**	0.12	0.24^**	0.08
BL persistence	−0.35^**	0.11	−0.17^**	0.05
	M6 cannabis use (n = 92)		M6 cannabis consequences (n = 92)
Variable	B	SE	B	SE
Age	−0.06	0.13	0.04	0.08
Sex	0.18	0.25	0.26	0.15
BL amplitude	−0.04	0.13	0.00	0.07
BL persistence	−0.10	0.10	−0.16^*	0.06
BL use	0.03^***	0.00	—	—
BL consequences	—	—	0.03^***	0.01

Note. BL = baseline assessment. M6 = Month 6 assessment. Cannabis use represents the number of cannabis use days in the past 3 months. Cannabis consequences represent sum scores on the marijuana consequences checklist. SE = standard error of the mean. Sex was coded as male = 0, female = 1. Amplitude consisted of intensity, O_max, and α. Persistence consisted of P_max and breakpoint. Models predicting Month 6 outcomes controlled for baseline levels of the respective outcome for each model.

p < .05.

^**

p < .01.

^***

p < .001.