Table 1.
COMPUTER (n=30) |
THERAPIST (n=29) |
BRIEF (n=16) |
p valuea | |
---|---|---|---|---|
Age | 34.87 (11.07) | 34.72 (11.06) | 35.06 (8.95) | 0.98 |
Male (%) | 53% | 59% | 56% | 0.95 |
Race | 0.74 | |||
Black | 67% | 52% | 56% | |
Caucasian | 30% | 45% | 38% | |
Other | 3% | 3% | 6% | |
Days of Cannabis Use (past 90 days) | 78.0 (17.1) | 81.2 (13.8) | 74.8 (17.7) | 0.56 |
Age of first used MJ | 15.27 (2.97) | 15.00 (2.82) | 14.25 (2.74) | 0.53 |
% Blunt User | 63% | 45% | 50% | 0.35 |
Amount (oz) cannabis used per week (past 90 days) | 0.47 (0.31) | 0.54 (0.38) | 0.53 (0.27) | 0.68 |
Money spent on cannabis per month (past 90 days) | 154.67 (138.53) | 233.62 (227.41) | 184.38 (116.60) | 0.27 |
Hours per day high when smoked past 90 days | 7.60 (4.69) | 7.55 (4.65) | 4.81 (3.33) | 0.11 |
Readiness to Change score | 3.37 (0.37) | 3.38 (0.43) | 3.43 (0.43) | 0.92 |
Cigarette Use (past 90 days) | 53% | 55% | 56% | 0.99 |
Kruskal-Wallis and Fisher Exact tests were used to compare continuous and categorical variables across the three conditions.