Table 1.
Demographic Characteristics
| Trauma Exposure | Sex Differences | Cannabis Relapsea |
||||
|---|---|---|---|---|---|---|
| Yes | No | Female | Male | Yes | No | |
| N | 68 (10 F) |
38 (10 F) |
23b | 23b | 32 (4 F) | 22 (4 F) |
| Race (White/Black/other) |
9/55/4 | 7/30/1 | 3/19/1 | 4/17/2 | 6/25/1 | 3/19/0 |
| Ethnicity (Hispanic/non- Hispanic) |
18/50 | 12/26 | 4/19 | 12/11 | 8/24 | 4/18 |
| Age | 32.3 ± 8.4 |
30.9 ± 7.3 |
29.6 ± 8.4 |
31.3 ± 8.5 |
30.0 ± 7.4 |
29.4 ± 8.8 |
| Education (years) | 12.3 ± 1.3 |
12.4 ± 1.4d |
12.3 ± 1.3g |
12.4 ± 1.5 |
12.5 ± 1.1 |
12.4 ± 1.0 |
| Cannabis days/week | 6.9 ± 0.5 |
6.7 ± 0.6 |
6.8 ± 0.4 |
6.7 ± 0.8 |
6.9 ± 0.2 |
6.9 ± 0.3 |
| Cannabis ‘blunts’/day | 4.5 ± 3.1 |
4.4 ± 3.7 |
5.4 ± 4.9 |
5.0 ± 3.6 |
4.3 ± 2.6 |
4.1 ± 3.3 |
| Age first cannabis use | 14.3 ± 3.9e |
14.7 ± 2.0 |
15.0 ± 2.5 |
14.6 ± 3.4g |
14.9 ± 3.9 |
13.6 ± 3.3 |
| Age regular cannabis use |
17.6 ± 5.8 |
16.6 ± 3.8 |
17.2 ± 5.0 |
17.6 ± 5.1 |
16.5 ± 5.6h |
16.5 ± 4.7 |
| Years regular cannabis use |
14.0 ± 7.4 |
14.8 ± 7.9 |
13.1 ± 9.1 |
13.7 ± 8.1 |
12.8 ± 6.5 |
12.7 ± 8.0 |
| Daily cigarette smokers (n) |
64 | 36 | 21 | 21 | 30 | 16 |
| Cigarettes per day | 9.6 ± 6.3 |
10.0 ± 7.7 |
9.6 ± 5.1 |
10.4 ± 7.8 |
9.3 ± 5.0 |
7.2 ± 3.9 |
| Alcohol drinkers (n) | 63 | 29 | 15 | 22 | 27 | 18 |
| Alcohol days/week | 1.6 ± 2.2 |
1.1 ± 0.9f |
1.6 ± 1.9 |
2.2 ± 2.9 |
1.2 ± 1.3i |
1.3 ± 1.2 |
| Alcoholic drinks/occasion |
3.2 ± 2.4 |
3.1 ± 2.1f |
2.7 ± 1.1c |
4.4 ± 3.0c |
3.3 ± 2.3 i |
3.8 ± 2.8 |
Note: Data presented as means (± SD), except where otherwise specified.
F = female
a
Relapsed to cannabis in a human laboratory model of cannabis withdrawal and relapse.
b
Males for sex difference analyses were selected from total sample of males to match females on amounts of cannabis use and cigarette smoking.
c
Difference between Females vs. Males (p < .05).
d
n = 37 due to missing data.
e
n = 67 due to missing data.
f
n = 28 due to missing data.
g
n = 22 due to missing data.
h
n = 31 due to missing data.
i
n = 26 due to missing data.