Table 3.

Binary logistic regression analyses identifying correlates of under-reporting increases in substance use per retrospective self-report of increase, decrease, or same (versus self-reported levels of use at W3 and W4)

	Under-reported increases in cigarette use (yes vs. no)			Under-reported increases in e-cigarette use (yes vs. no)			Under-reported increases in marijuana use (yes vs. no)			Under-reported increases in alcohol use (yes vs. no)
Sociodemographics	OR	CI	p	OR	CI	p	OR	CI	p	OR	CI	p
Age	1.07	0.98, 1.17	.157	1.08	1.01, 1.17	.048	0.97	0.92, 1.03	.355	1.05	1.01, 1.10	.025
Female	0.46	0.18, 1.13	.091	0.66	0.31, 1.40	.281	1.07	0.61, 1.87	.807	0.55	0.36, 0.84	.006
Sexual minority	0.81	0.29, 2.23	.682	0.91	0.40, 2.07	.817	0.72	0.40, 1.29	.263	0.64	0.39, 1.03	.065
Race (ref: White)
Black	0.34	0.03, 4.11	.398	0.74	0.13, 4.33	.735	1.65	0.50, 5.48	.415	1.11	0.41, 2.96	.840
Asian	2.94	0.91, 9.45	.071	0.57	0.20, 1.59	.281	1.07	0.47, 2.43	.878	0.85	0.43, 1.68	.632
Other	0.81	0.20, 3.25	.768	0.76	0.26, 2.26	.619	0.67	0.24, 1.92	.458	2.10	1.09, 4.04	.026
Hispanic	2.20	0.80, 6.06	.128	0.86	0.32, 2.34	.772	0.50	0.19, 1.36	.177	1.01	0.56, 1.82	.987
W3 Substance Use
Past 30-day cigarette use	0.87	0.82, 0.93	<.001	1.01	0.98, 1.05	.510	1.02	0.98, 1.06	.293	1.02	0.99, 1.05	.224
Past 30-day e-cigarette use	0.98	0.94, 1.02	.272	0.88	0.84, 0.91	<.001	1.02	0.99, 1.05	.207	0.99	0.96, 1.01	.315
Past 30-day marijuana use	1.02	0.98, 1.06	.269	1.01	0.98, 1.04	.586	0.92	0.90, 0.95	<.001	1.01	0.99, 1.03	.365
Past 30-day alcohol use	0.98	0.92, 1.05	.572	0.98	0.93, 1.04	.533	0.94	0.90, 0.99	.022	0.83	0.79, 0.88	<.001
Nagelkerke R-square	.423			.433			.204			.193

Notes: Bolded values denote statistical significance.

Analyses conducted among W4 users of respective substances (N=233 for cigarettes, N=288 for e-cigarettes, N=414 for marijuana, N=818 for alcohol).