Table 1.
Correlates of most frequent mode of use among past-month marijuana users at baseline, N=1,149*
| Total N= 1149 (100%) | Smoke N=621 (54.0%) | Pipe/bong N=173 (15.1%) | Ingest N=105 (9.1%) | Vape N=250 (21.8%) | ||
|---|---|---|---|---|---|---|
| Variable | N (%) or M (SD) | N (%) or M (SD) | N (%) or M (SD) | N (%) or M (SD) | N (%) or M (SD) | p |
|
| ||||||
| MSA, N (%) | <.001 | |||||
| Atlanta | 172 (15.0) | 102 (16.4) | 28 (16.2) | 13 (12.4) | 29 (11.6) | |
| Boston | 224 (19.5) | 128 (20.6) | 27 (15.6) | 15 (14.3) | 54 (21.6) | |
| Minneapolis-St. Paul | 210 (18.3) | 140 (22.5) | 23 (15.0) | 16 (15.2) | 31 (12.4) | |
| Oklahoma City | 92 (8.0) | 59 (9.5) | 12 (6.9) | 7 (6.7) | 14 (5.6) | |
| San Diego | 188 (16.4) | 61 (9.8) | 32 (18.5) | 27 (25.7) | 68 (27.2) | |
| Seattle | 263 (22.9) | 131 (21.1) | 51 (29.5) | 27 (25.7) | 54 (21.6) | |
| Marijuana retail law, N (%) | <.001 | |||||
| Legalized | 451 (39.3) | 192 (30.9) | 83 (48.0) | 54 (51.4) | 128 (51.2) | |
| Not legalized | 698 (60.7) | 429 (69.1) | 90 (52.0) | 51 (48.6) | 122 (48.8) | |
| Sociodemographics | ||||||
| Age, M (SD) | 24.19 (4.63) | 24.11 (4.63) | 22.80 (4.44) | 25.57 (4.61) | 24.75 (4.54) | <.001 |
| Male, N (%)** | 483 (42.0) | 239 (38.5) | 85 (49.1) | 34 (32.4) | 125 (50.0) | <.001 |
| Sexual minority, N (%) | 465 (40.5) | 272 (43.8) | 72 (41.6) | 31 (29.5) | 90 (36.0) | .017 |
| Race, N (%) | .011 | |||||
| White | 865 (75.3) | 457 (73.6) | 136 (78.6) | 85 (81.0) | 187 (74.8) | |
| Black | 54 (4.7) | 43 (6.9) | 4 (3.5) | 4 (3.8) | 5 (2.0) | |
| Asian | 86 (7.5) | 40 (6.5) | 14 (8.1) | 5 (4.8) | 27 (10.8) | |
| Other | 144 (12.5) | 81 (13.0) | 20 (11.6) | 21 (20.0) | 31 (12.4) | |
| Hispanic, N (%) | 140 (12.2) | 83 (13.4) | 25 (14.5) | 11 (10.5) | 21 (8.4) | .153 |
| Education ≥bachelor’s degree, N (%) | 793 (69.0) | 420 (67.6) | 108 (62.4) | 82 (78.1) | 183 (73.2) | .017 |
| Employment, N (%) | <.001 | |||||
| Student | 281 (24.5) | 144 (23.2) | 57 (32.9) | 20 (19.0) | 60 (24.0) | |
| Unemployed | 92 (80.1) | 47 (7.6) | 22 (12.7) | 10 (9.5) | 13 (5.2) | |
| Full-time | 430 (37.4) | 229 (36.9) | 38 (22.0) | 49 (46.7) | 114 (45.6) | |
| Part-time | 346 (30.1) | 201 (32.4) | 56 (32.4) | 26 (24.8) | 63 (25.2) | |
| Marijuana use characteristics | ||||||
| Number of days used, past 30 days, M (SD) | 13.32 (11.49) | 12.71 (11.25) | 18.91 (11.55) | 6.01 (7.76) | 14.04 (11.41) | <.001 |
| Times used per day, M (SD) | 2.60 (2.62) | 2.52 (2.49) | 3.67 (3.42) | 1.35 (.81) | 2.59 (2.55) | <.001 |
| Past-month tobacco use, N (%) | ||||||
| Cigarettes | 480 (41.8) | 291 (46.9) | 89 (51.4) | 17 (16.2) | 83 (35.6) | <.001 |
| E-cigarettes | 660 (57.4) | 362 (58.3) | 122 (70.1) | 36 (34.3) | 140 (56.0) | <.001 |
| Little cigars/cigarillos | 280 (24.4) | 174 (28.0) | 60 (34.7) | 7 (6.7) | 39 (15.6) | <.001 |
| Large cigars | 128 (11.1) | 75 (12.1) | 17 (9.8) | 5 (4.8) | 31 (12.4) | .135 |
| Hookah | 179 (15.6) | 99 (15.9) | 33 (19.1) | 9 (8.6) | 38 (15.2) | .132 |
| Smokeless tobacco | 52 (4.5) | 24 (3.9) | 12 (6.9) | 5 (4.8) | 11 (4.4) | .395 |
| Any tobacco | 839 (73.0) | 479 (77.1) | 144 (83.2) | 46 (43.8) | 170 (68.0) | <.001 |
| Psychosocial factors | ||||||
| Parental use of… N (%) | ||||||
| Marijuana | 323 (28.1) | 180 (29.0) | 53 (30.6) | 28 (26.7) | 62 (24.8) | .523 |
| Tobacco | 448 (39.0) | 271 (43.6) | 65 (37.6) | 28 (26.7) | 84 (33.6) | .001 |
| Number of friends using… M (SD) | ||||||
| Marijuana | 0.98 (0.12) | 0.99 (0.12) | 0.99 (0.11) | 0.97 (0.18) | 0.98 (0.13) | .711 |
| Tobacco | 0.14 (0.13) | 0.15 (0.14) | 0.16 (0.13) | 0.09 (0.10) | 0.13 (0.12) | <.001 |
| Depressive symptoms, M (SD) | 1.98 (1.75) | 2.00 (1.73) | 2.28 (1.81) | 1.61 (1.55) | 1.87 (1.81) | .012 |
Note: p-values indicate omnibus tests (per ANOVA and Chi-Square) across modes of use.
*
Excluding those who report “other” most frequent modes of use at baseline, N=19.
**
87 reported “other” sex.