Table 2.
Multilevel Regression Models Predicting “Almost Always” (vs. <Almost Always) Being Age Verified for Cigarette and E-cigarette Purchases From Wave 1 (Fall 2018) to Wave 3 (Fall 2020)
| Cigarettes | E-cigarettes | |||||
|---|---|---|---|---|---|---|
| Variable | aOR | CI | p | aOR | CI | p |
| Policy factors | ||||||
| State T21 | 1.12 | 0.68, 1.85 | .644 | 1.67 | 1.13, 2.46 | .010 |
| Sociodemographic factors | ||||||
| Age | 0.83 | 0.74, 0.92 | .001 | 0.95 | 0.87, 1.03 | .196 |
| Female (ref = male)* | 1.60 | 0.92, 2.77 | .097 | 0.89 | 0.59, 1.35 | .588 |
| Sexual minority (ref = heterosexual) | 1.33 | 0.76, 2.32 | .314 | 1.54 | 1.00, 2.37 | .052 |
| Race (ref = white) | ||||||
| Black | 0.33 | 0.05, 2.05 | .236 | 0.49 | 0.13, 1.83 | .291 |
| Asian | 1.22 | 0.52, 2.86 | .650 | 1.12 | 0.59, 2.12 | .726 |
| Other | 0.88 | 0.40, 1.90 | .740 | 1.06 | 0.56, 1.98 | .864 |
| Hispanic (ref = non-Hispanic) | 1.74 | 0.81, 3.75 | .154 | 0.88 | 0.49, 2.46 | .668 |
*aOR adjusted for other variables in the table.