. Author manuscript; available in PMC: 2022 Aug 1.

Published in final edited form as: Addiction. 2021 Jan 12;116(8):2104–2115. doi: 10.1111/add.15387

Table 5.

Predictors of change in cannabis use: feed forward model selection

	B	95% CI bca (B)	SE (B)	b	t	p	BF₁₀
*Pre- to post COVID 19 lockdown change DSM-5 CUD symptoms:* Final model F (6,96) = 11.33, adjuster R² = 0.48, p < 0.001
DSM-5 CUD, pre-lockdown	− 0.20	− 0.30 – − 0.09	0.05	− 0.32	4.00	<0.001	>100
Coping motives, change	0.09	− 0.03 – 0.22	0.06	0.17	1.81	0.074	1.18
DSM-5-CCSM anxiety, change	0.21	0.04 – 0.38	0.08	0.25	2.65	0.009	6.16
Change contact quality family	0.72	0.19 – 1.27	0.28	0.20	2.46	0.016	4.07
COVID-19 related worries, personal economic	− 0.49	− 0.80 – − 0.23	0.14	− 0.35	3.79	<0.001	>100
COVID-19 related worries, personal health	0.77	0.38 – 1.19	0.21	0.39	4.08	<0.001	>100
*Pre- to post COVID 19 lockdown change cannabis use (days per month):* Final model F (5,97) = 14.37, adjuster R² = 0.40, p < 0.001
Cannabis use, days months, pre-lockdown	− 0.31	− 0.45 – − 0.18	0.07	− 0.38	4.80	<0.001	>100
DSM-5 CUD, change	0.93	0.23 – 1.81	0.39	0.21	2.67	0.009	6.03
Expansion motives, change	0.83	0.32 – 1.33	0.25	0.29	3.67	<0.001	88.90
Social motives, change	0.35	0.03 – 0.66	0.16	0.21	2.61	0.011	5.20
Loneliness, change	1.47	0.15 – 2.80	0.67	0.17	2.18	0.031	2.11

DSM-5: Diagnostic and Statistical Manual of Mental Disorders; CUD: Cannabis Use Disorder; Motives were measured with the Marijuana Motives Measure; CCSM: Cross-Cutting Symptom Measure; CI bca: Confidence Interval bias corrected accelerated; SE: Standard Error); 95% CI based on bootstrapping 5000 replications. BS₁₀: Bayes factor likelihood H1 relative to H01 with default priors of including all other measures to the null model. Bold regression results refer to significant effects with at least moderate Bayesian evidence support.