Table 1.
Flavored E-Cigarette Sales Ban (n=10 cities, 270 participants) | No E-Cigarette Flavor Ban (n=20 cities, 630 participants) | Full Sample (N=900 participants) | |
---|---|---|---|
Age | 17.90 (1.80) | 17.66 (1.79) | 17.73 (1.80) |
Race/ethnicity | |||
Non-Hispanic white | 51 (18.9%) | 161 (25.6%) | 212 (23.6%) |
Black | 76 (28.1%) | 188 (29.8%) | 264 (29.3%) |
Multiple races/ethnicities | 67 (24.8%) | 181 (28.7%) | 248 (27.6%) |
Other or unknown race/ethnicity | 76 (28.1%) | 100 (15.9%) | 176 (19.6%) |
Ever e-cig use (yes/no) | 122 (45.2%) | 279 (44.3%) | 401 (44.6%) |
Gender | |||
Male/man | 106 (39.3%) | 208 (33.0%) | 314 (34.9%) |
Female/woman | 146 (54.1%) | 396 (62.9%) | 542 (60.2%) |
Transgender or other gender identity | 18 (6.7%) | 26 (4.1%) | 44 (4.9%) |
Sexual identity | |||
Heterosexual (straight) | 199 (73.7%) | 468 (74.3%) | 667 (74.1%) |
Gay or lesbian | 12 (4.4%) | 32 (5.1%) | 44 (4.9%) |
Bisexual | 44 (16.3%) | 91 (14.4%) | 135 (15.0%) |
Something else or unsure | 15 (5.6%) | 39 (6.2%) | 54 (6.0%) |
Family finances (n=894) | |||
Live comfortably | 148 (55.4%) | 362 (57.7%) | 510 (57.0%) |
Meet needs with a little left over | 62 (23.2%) | 142 (22.6%) | 204 (22.8%) |
Just meet or don’t meet basic expenses | 57 (21.3%) | 123 (19.6%) | 180 (20.1%) |
Substances vaped (in lifetime) | |||
Nicotine | 59 (21.9%) | 159 (25.2%) | 218 (24.2%) |
In past 30 days (N/% yes) | 30 (11.1%) | 76 (12.1%) | 106 (11.8%) |
Flavor-only | 36 (13.3%) | 106 (16.8%) | 142 (15.8%) |
CBD | 32 (11.9%) | 88 (14.0%) | 120 (13.3%) |
In past 30 days (N/% yes) | 9 (3.3%) | 27 (4.3%) | 36 (4.0%) |
Cannabis | 71 (26.3%) | 178 (28.3%) | 249 (27.7%) |
In past 30 days (N/% yes) | 33 (12.2%) | 74 (11.7%) | 107 (11.9%) |
Other/unknown | 9 (3.3%) | 8 (1.3%) | 17 (1.9%) |
E-cig risk perceptions (n=897) | 2.51 (.51) | 2.49 (.51) | 2.50 (.51) |
E-cig marketing exposure† | |||
Internet (n=877) | 118 (44.9%) | 265 (43.2%) | 383 (43.7%) |
Convenience store, supermarket, or gas station (n=897) | 172 (65.2%) | 395 (64.2%) | 567 (64.5%) |
Smoke or vape shop (n=562) | 125 (74.4%) | 270 (68.5%) | 395 (70.3%) |
Social environment | |||
Close friends (0–5) with past-month e-cigarette use (n=870) | 1.50 (1.59) | 1.59 (1.63) | 1.56 (1.62) |
Close friends (0–5) with past-month marijuana vaping (n=865) | 1.80 (1.69) | 1.78 (1.78) | 1.79 (1.75) |
Household member vapes (yes/no) | 41 (15.2%) | 114 (18.1%) | 155 (17.2%) |
Close others’ attitudes toward vaping (1 = very positive, 5 = very negative) | 3.54 (1.10) | 3.46 (1.14) | 3.48 (1.13) |
Ease of access (N/% somewhat or very easy) | |||
Flavored vaping products | 151 (72.9%) | 340 (71.9%) | 491 (72.2%) |
Flavored e-liquid | 133 (70.0%) | 309 (69.6%) | 442 (69.7%) |
Perceived e-cig addiction (0–100%)& | 33.65% (32.14%) | 31.13% (32.85%) | 31.79% (32.61%) |
Past-month flavor use€ | |||
Fruit | 18 (60.0%) | 48 (63.2%) | 66 (62.3%) |
Menthol | 9 (30.0%) | 25 (32.9%) | 34 (32.1%) |
Mint, ice, or frost | 9 (30.0%) | 32 (42.1%) | 41 (38.7%) |
Candy, dessert, or other sweets | 7 (23.3%) | 23 (30.3%) | 30 (28.3%) |
Tobacco | 6 (20.0%) | 16 (21.1%) | 22 (20.8%) |
Other | 10 (33.3%) | 22 (28.9%) | 32 (30.2%) |
Source of flavored e-liquid€ | |||
Vape, smoke, or head shop | 17 (56.7%) | 37 (48.7%) | 54 (50.9%) |
In the city/town of residence (N/% yes) | 11 (64.7%) | 28 (75.7%) | 39 (72.2%) |
Another type of store | 8 (26.7%) | 18 (23.7%) | 26 (24.5%) |
Online store or website | 6 (20.0%) | 12 (15.8%) | 18 (17.0%) |
Family member | 1 (3.3%) | 8 (10.5%) | 9 (8.5%) |
Used a friend’s | 11 (36.7%) | 21 (27.6%) | 32 (30.2%) |
Gave someone money to buy them | 7 (23.3%) | 15 (19.7%) | 22 (20.8%) |
Policy attitudes (1 = strongly disagree, 4 = strongly agree) | 2.80 (.77) | 2.73 (.74) | 2.75 (0.75) |
N/% sometimes, most of the time, or always, among those who use/visit each outlet
Among participants who have ever used an e-cigarette (n=401 ever-users, n=209 responded)
Among participants who vaped nicotine in the past 30 days (n=106)