Table 1.
Participant Demographics
| Nicotine level (mg nicotine/g of tobacco; n) | |||||||
|---|---|---|---|---|---|---|---|
| 0.4 (n = 32) | 1.3 (n = 29) | 2.4 (n = 30) | 5.2 (n = 31) | 15.8 (n = 29) | Overall (n = 151) | p | |
| Numeric variablesa: median [IQR] | |||||||
| Age | 41.00 [32.75, 46.25] | 37.00 [28.00, 49.00] | 46.00 [34.00, 51.00] | 42.00 [36.00, 51.00] | 39.00 [34.00, 48.00] | 41.00 [33.00, 50.00] | .608 |
| Monthly income | 707.00 [0.00, 891.00] | 600.00 [0.00, 1275.00] | 513.00 [0.00, 1050.75] | 500.00 [0.00, 1354.00] | 430.00 [0.00, 1000.00] | 563.00 [0.00, 1100.00] | .995 |
| Numeric variablesb: mean (SD) | |||||||
| Education | 11.75 (1.57) | 11.86 (1.90) | 12.37 (1.71) | 13.19 (2.48) | 12.62 (2.27) | 12.36 (2.06) | .037 |
| FTND | 6.75 (1.81) | 6.62 (1.84) | 6.63 (2.01) | 6.48 (2.23) | 6.72 (2.00) | 6.64 (1.96) | .987 |
| Cigarettes per day | 21.36 (9.63) | 20.18 (7.26) | 20.11 (7.84) | 20.81 (8.24) | 21.90 (7.09) | 20.87 (8.02) | .900 |
| Categorical variablesc: [reference] n (%) | |||||||
| Sex [male] | 16 (50.0) | 17 (58.6) | 14 (46.7) | 16 (51.6) | 16 (55.2) | 79 (52.3) | .907 |
| Ethnicityd [Hispanic] | 1 (3.1) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 3 (10.3) | 4 (2.6) | .050 |
| Usual-brand cigarette flavor [tobacco] | 14 (43.8) | 8 (27.6) | 13 (43.3) | 13 (41.9) | 12 (41.4) | 60 (39.7) | .688 |
| Multiuser [multiuser] | 13 (40.6) | 7 (24.1) | 9 (30.0) | 11 (35.5) | 10 (34.5) | 50 (33.1) | .717 |
| Raced | .734 | ||||||
| White | 21 (65.6) | 19 (65.5) | 20 (66.7) | 24 (77.4) | 17 (58.6) | 101 (66.9) | |
| African American | 7 (21.9) | 9 (31.0) | 9 (30.0) | 7 (22.6) | 10 (34.5) | 42 (27.8) | |
| American Indian | 1 (3.1) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 0 (0.0) | 1 (0.7) | |
| More than one race | 3 (9.4) | 1 (3.4) | 1 (3.3) | 0 (0.0) | 2 (6.9) | 7 (4.6) |
FTND = Fagerström test of nicotine dependence; IQR = interquartile range.
aNonparametric Kruskal–Wallis test. bParametric ANOVA. cChi-square test of independence. dFisher’s exact test.