Table 1.
E-cigarette use, advertising exposures, and participant characteristics.
| Youths (13–20) n = 1490 |
Young Adults (21–24) n = 814 |
|||
|---|---|---|---|---|
| Baseline sample characteristics: | n (wt.%) | 95% CI | n (wt.%) | 95% CI |
| Sex | ||||
| Male | 702 (49.2) | 45.2, 53.1 | 286 (45.7) | 41.1, 50.3 |
| Female | 787 (50.8) | 46.9, 54.8 | 528 (54.3) | 49.7, 58.9 |
| Race/Ethnicity | ||||
| White, NH | 871 (55.8) | 51.9, 59.6 | 316 (56.7) | 52.3, 61.1 |
| Black, NH | 186 (13.2) | 10.8, 16.1 | 182 (14.0) | 11.4, 17.2 |
| Other/2 +races, NH | 96 (6.9) | 5.0, 9.3 | 63 (6.4) | 4.6, 8.8 |
| Hispanic | 266 (20.5) | 17.5, 23.9 | 185 (20.0) | 16.8, 23.6 |
| Asian, NH | 71 (3.6) | 2.7, 4.9 | 68 (2.9) | 1.9, 4.5 |
| Household Income | ||||
| <USD 25,000 | 255 (19.9) | 16.6, 23.6 | 278 (30.3) | 26.3, 34.5 |
| USD 25,000–USD 49,999 | 294 (19.7) | 16.7, 23.2 | 208 (25.5) | 21.7, 29.7 |
| USD 50,000–USD 99,999 | 534 (31.9) | 28.5, 35.5 | 194 (24.7) | 21.0, 28.8 |
| USD 100,000+ | 407 (28.5) | 25.3, 32.0 | 134 (19.5) | 16.1, 23.5 |
| Region | ||||
| Northeast | 247 (18.0) | 14.9, 21.5 | 121 (14.5) | 11.6, 17.9 |
| Midwest | 397 (23.6) | 20.6, 26.9 | 143 (21.5) | 18.0, 25.4 |
| South | 544 (35.6) | 32.0, 39.5 | 376 (38.4) | 34.1, 42.8 |
| West | 302 (22.8) | 19.7, 26.2 | 174 (25.7) | 21.8, 30.0 |
| Ever used e-cigarettes | 57 (7.6) | 5.5, 10.6 | 134 (12.8) | 10.1, 15.9 |
| Current cigarette smoker | 28 (3.5) | 2.1, 5.8 | 49 (6.8) | 4.5, 10.1 |
| E-cigarette user at follow-up | 119 (7.9) | 6.0, 10.2 | 97 (11.1) | 8.4, 14.5 |
| Exposure to any TV, retail or online/social media ads or content at baseline | 917 (63.7) | 59.8, 67.4 | 547 (58.3) | 53.6, 62.8 |
| TV advertising | 376 (24.3) | 21.1, 27.8 | 229 (22.5) | 19.0, 26.4 |
| Retail store advertising | 695 (52.2) | 48.2, 56.3 | 445 (53.4) | 48.6, 58.2 |
| Online/social media advertising/content | 545 (42.9) | 38.7, 47.2 | 361 (43.2) | 38.4, 48.1 |
wt. = weighted. CI = confidence interval.