Table 1.
Demographic characteristic | Baseline (4035a) | Follow-up 1 (2788a) | Follow-up 2 (3548a) | Follow-up 3 (4177a) | Follow-up 4 (3893a) | Follow-up 5 (4134a) | Follow-up 6 (4071a) |
---|---|---|---|---|---|---|---|
Age | |||||||
18 | 345 (9%) | 131 (5%) | 149 (4%) | 189 (5%) | 120 (3%) | 140 (3%) | 128 (3%) |
19 | 375 (9%) | 222 (8%) | 315 (9%) | 310 (7%) | 252 (6%) | 267 (6%) | 242 (6%) |
20 | 396 (10%) | 218 (8%) | 316 (9%) | 373 (9%) | 332 (9%) | 334 (8%) | 328 (8%) |
21 | 776 (19%) | 474 (17%) | 472 (13%) | 521 (12%) | 422 (11%) | 512 (12%) | 491 (12%) |
22 | 640 (16%) | 563 (20%) | 675 (19%) | 721 (17%) | 540 (14%) | 561 (14%) | 568 (14%) |
23 | 783 (19%) | 582 (21%) | 684 (19%) | 786 (19%) | 723 (19%) | 713 (17%) | 640 (16%) |
24 | 720 (18%) | 598 (21%) | 663 (19%) | 777 (19%) | 768 (20%) | 779 (19%) | 748 (18%) |
25 | — | — | 274 (8%) | 389 (9%) | 495 (13%) | 520 (13%) | 563 (14%) |
26 | — | — | — | 111 (3%) | 241 (6%) | 308 (7%) | 363 (9%) |
Gender & sexual identity | |||||||
Cisgender female lesbian or gay | 876 (22%) | 479 (17%) | 669 (19%) | 787 (19%) | 726 (19%) | 778 (19%) | 708 (17%) |
Cisgender male gay | 1811 (45%) | 1218 (44%) | 1353 (38%) | 1400 (34%) | 1349 (35%) | 1299 (31%) | 1237 (30%) |
Cisgender female bisexual | 637 (16%) | 436 (16%) | 662 (19%) | 865 (21%) | 778 (20%) | 888 (21%) | 952 (23%) |
Cisgender male bisexual | 215 (5%) | 152 (5%) | 178 (5%) | 201 (5%) | 164 (4%) | 188 (5%) | 180 (4%) |
Gender minorities | 339 (8%) | 384 (14%) | 529 (15%) | 722 (17%) | 688 (18%) | 766 (19%) | 782 (19%) |
Cisgender other sexual minority | 150 (4%) | 107 (4%) | 140 (4%) | 188 (5%) | 180 (5%) | 194 (5%) | 201 (5%) |
Race/ethnicity | |||||||
White, non-Hispanic | 1856 (46%) | 1315 (47%) | 1705 (48%) | 2098 (50%) | 1478 (38%) | 2074 (50%) | 2037 (50%) |
Black, non-Hispanic | 403 (10%) | 277 (10%) | 349 (10%) | 393 (9%) | 255 (7%) | 355 (9%) | 346 (9%) |
Hispanic | 1065 (26%) | 714 (26%) | 841 (24%) | 941 (23%) | 973 (25%) | 986 (24%) | 971 (24%) |
American Indian or Alaska Native | 26 (1%) | 11 (0%) | 20 (1%) | 20 (0%) | 12 (0%) | 17 (0%) | 13 (0%) |
Asian or Pacific Islander | 151 (4%) | 117 (4%) | 148 (4%) | 161 (4%) | 117 (3%) | 149 (4%) | 151 (4%) |
Multiracial | 391 (10%) | 287 (10%) | 391 (11%) | 475 (11%) | 324 (8%) | 476 (12%) | 461 (11%) |
Other, non-Hispanic | 82 (2%) | 50 (2%) | 66 (2%) | 64 (2%) | 58 (1%) | 56 (1%) | 65 (2%) |
Education | |||||||
High school or less | 1040 (26%) | 626 (22%) | 792 (22%) | 921 (22%) | 766 (20%) | 842 (20%) | 847 (21%) |
Some college | 2049 (51%) | 1382 (50%) | 1676 (47%) | 1966 (47%) | 1746 (45%) | 1940 (47%) | 1831 (45%) |
College + | 887 (22%) | 773 (28%) | 1069 (30%) | 1273 (30%) | 1369 (35%) | 1346 (33%) | 1386 (34%) |
Current student | |||||||
Yes | 1746 (43%) | 1145 (41%) | 1476 (42%) | 1624 (39%) | 1450 (37%) | 1509 (37%) | 1427 (35%) |
No | 2183 (54%) | 1590 (57%) | 2014 (57%) | 2483 (59%) | 2394 (61%) | 2557 (62%) | 2591 (64%) |
Employment | |||||||
Full-time | 1653 (41%) | 1278 (46%) | 1611 (45%) | 1960 (47%) | 2037 (52%) | 2024 (49%) | 2172 (53%) |
Part-time | 1558 (38%) | 1024 (37%) | 1297 (37%) | 1457 (35%) | 1283 (33%) | 1412 (34%) | 1323 (33%) |
Don't currently work | 722 (18%) | 438 (16%) | 570 (16%) | 670 (16%) | 514 (13%) | 643 (16%) | 518 (13%) |
Smoking status | |||||||
Never smokers | 811 (20%) | 691 (25%) | 915 (26%) | 1111 (27%) | 1084 (28%) | 1150 (28%) | 1243 (31%) |
Ever, not current, smokers | 1360 (34%) | 1008 (36%) | 1279 (36%) | 1535 (37%) | 1561 (40%) | 1691 (41%) | 1644 (41%) |
Non-daily phantom smokersb | 970 (24%) | 610 (22%) | 772 (22%) | 843 (20%) | 713 (18%) | 739 (18%) | 680 (17%) |
Non-daily smokersb | 386 (10%) | 208 (8%) | 261 (7%) | 296 (7%) | 241 (6%) | 273 (6%) | 215 (5%) |
Daily smokers | 445 (11%) | 248 (9%) | 291 (8%) | 360 (9%) | 256 (7%) | 249 (6%) | 217 (5%) |
aNumbers may not add up to total N at each wave due to missing respondent data (which was excluded from denominators in percent calculations).
bBullseye target audience is composed of LGBT young adults who are non-daily smokers.