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. Author manuscript; available in PMC: 2022 Dec 1.
Published in final edited form as: Drug Alcohol Depend. 2021 Oct 9;229(Pt A):109122. doi: 10.1016/j.drugalcdep.2021.109122

Table 1.

Participant characteristics by city-level e-cigarette flavor policy, N=900

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)