Table 2.
PREP use by demographic characteristics and demographic profile of PREP versus non-PREP users (among all 43,419 current and former smokers)
| Variablesa | % PREP use | PREP vs. non-PREP users |
p Value | |
| Total N = 1,005 (2.5%) | PREP users, N = 1,005 (%) | Non-PREP users, N = 42,414 (%) | ||
| Gender | ||||
| Male | 2.51 | 481 (53.4) | 20,385 (53.4) | 1.0000 |
| Female | 2.51 | 524 (46.6) | 22,029 (46.6) | |
| Age | ||||
| < 25 | 3.65 | 202 (25.4) | 5,624 (17.3) | .0000 |
| 26–44 | 2.44 | 425 (40.7) | 17,954 (42.0) | |
| 45–64 | 2.24 | 321 (29.3) | 14,890 (33.0) | |
| 65+ | 1.51 | 57 (4.6) | 3,946 (7.8) | |
| Race/ethnicity | ||||
| Non-Hispanic White | 2.67 | 830 (82.5) | 34,117 (77.4) | .0332 |
| Non-Hispanic Black | 1.81 | 67 (7.5) | 3,296 (10.4) | |
| Hispanic/Latino | 1.95 | 55 (6.9) | 2,717 (9.0) | |
| Asian/Pacific Islander | 1.97 | 14 (1.9) | 757 (2.4) | |
| American Indian | 3.50 | 16 (1.2) | 658 (0.8) | |
| Education | ||||
| <12 years | 2.35 | 145 (14.7) | 6,302 (15.7) | .0151 |
| GED | 2.70 | 19 (1.9) | 650 (1.8) | |
| High school graduate | 2.19 | 353 (33.0) | 16,574 (38.1) | |
| Some college + | 2.84 | 488 (50.4) | 18,888 (44.5) | |
| Occupation | ||||
| White-collar | 2.76 | 404 (53.6) | 16,085 (50.9) | .0020 |
| Blue-collar | 2.88 | 156 (19.4) | 5,640 (17.6) | |
| Service | 2.29 | 195 (26.7) | 9,011 (30.6) | |
| Other | 0.80 | 4 (0.3) | 267 (0.9) | |
| Geographic location | ||||
| Midwest | 2.48 | 293 (25.2) | 11,762 (25.6) | .000 |
| South | 3.22 | 369 (47.2) | 12,459 (36.6) | |
| West | 1.96 | 174 (15.1) | 9,678 (19.4) | |
| Northeast | 1.73 | 169 (12.5) | 8,515 (18.4) | |
Note. GED = General Equivalency Diploma; PREP = potential reduced-exposure tobacco product.
a
Other variables considered in the bivariate analyses included income, employment status, school enrollment, and living in a metropolitan location; however, there were no statistically significant findings at the .05 level for these variables.