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. Author manuscript; available in PMC: 2014 Dec 15.
Published in final edited form as: Drug Alcohol Depend. 2013 Sep 11;133(3):845–851. doi: 10.1016/j.drugalcdep.2013.09.002

Table 1.

Participant demographic and baseline characteristics as a function of stimulant diagnosis and cigarette type

Cocaine-Dependent Methamphetamine-Dependent

Non-Menthol
N=100
Menthol
N=201
Cigarette
Analysisa
Non-Menthol
N=176
Menthol
N=33
Cigarette
Analysisa
Age (Years) 39.5 (10.1) 39.7 (9.8) W=−0.3 33.1 (8.9) 29.3 (6.5) t (57.0)=2.8**
Sex (% Male) 58.0% 56.2% X2(1)=0.1 48.3% 30.3% X2(1)=3.6
Race (%) F=0.0*** F=0.0143
African-American 15.2% 74.6% 2.3% 3.0%
Caucasian 76.8% 22.4% 82.4% 93.9%
Other/mixed 8.1% 3.0% 15.3% 3.0%
Ethnicity (% Hispanic) 18.0% 4.0% X2(1)=16.3*** 18.2% 12.1% X2(1)=0.7
Stimulant-positive UDSb 20.0% 38.3% X2(1)=10.2** 12.5% 12.1% F=0.2260
Stimulant-use route (%) F=0.002 F=0.0005
Smoked 59.0% 66.2% 60.8% 57.6%
Nasal 31.0% 27.4% 10.2% 6.1%
IV 7.0% 4.0% 27.3% 24.2%
Other/no answer 3.0% 2.5% 1.7% 12.1%
Fagerström score 5.6 (2.4) 5.7 (2.2) W=−0.2 5.6 (2.2) 5.3 (2.2) W=−0.5
No. of Smoking years 21.0 (9.6) 22.8 (10.5) W=−1.4 17.2 (8.7) 12.3 (6.1) t (58.9)=3.9**
No. of cigarettes/day 17.5 (7.1) 16.4 (7.9) W=1.6 15.0 (7.3) 16.5 (8.6) W=1.1

Note:

a

W=Wilcoxon Rank Sum, t(df)=Student’s t, X2(df)=Chi-square, F=Fisher’s Exact;

b

UDS=Urine drug screen.

*

p < .05;

**

p < .01;

***

p <.001