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. Author manuscript; available in PMC: 2015 Apr 1.
Published in final edited form as: Addict Behav. 2014 Jan 28;39(4):824–828. doi: 10.1016/j.addbeh.2014.01.007

Table 2.

Logistic regression results predicting risk for illicit drug use and prescription drug misuse by GSA status

With GSA (n = 333) Without GSA (n = 142) Final Model With and Without Comparisons
Substance Endorse Use n (%) Endorse Use n (%) Omnibus χ2 (df=12) adjOR 95% CI
Any Use/Misuse 127 (38.1) 73 (54.1) 26.69** 1.89** 1.17 – 3.03
Cocaine 11 (3.3) 15 (10.6) 22.77* 3.11* 1.23 – 7.86
Ecstasy 19 (5.7) 15 (10.6) 24.88* 1.94 0.84 – 4.50
GHB/Rohypnol 5 (1.5) 4 (2.8) 17.35 1.16 0.24 – 5.70
Hallucinogens 18 (5.4) 21 (14.8) 31.51** 2.59* 1.18 – 5.70
Heroin 4 (1.2) 0 (0.0) N/A N/A N/A
Inhalants 17 (5.1) 14 (9.9) 19.10 1.53 0.65 – 3.61
Marijuana 107 (32.1) 67 (47.2) 28.73** 2.22** 1.37 – 3.59
Methamphetamines 11 (3.3) 4 (2.8) 24.30* 0.30 0.07 – 1.21
Steroids 7 (2.1) 7 (4.9) 29.25** 1.08 0.30 – 3.93
ADHD Med Misuse 28 (8.4) 27 (19.0) 25.62* 2.00* 1.02 – 3.92
Anxiety Med Misuse 26 (7.8) 26 (18.3) 41.46*** 1.76 0.88 – 3.52
Pain Med Misuse 43 (12.9) 34 (23.9) 36.78*** 2.00* 1.10 – 3.65
*

p < .05,

**

p < .01,

***

p<.001

Note: Reference group = participants attending a school with a GSA