Table 2.
Regression Analysis for Gender and other Variables Predicting Stimulant Abstinence Symptom Severity
| B | SE | p | |
|---|---|---|---|
| Gender | 2.710 | 1.5 | 0.071 |
| Age | 0.014 | 0.1 | 0.847 |
| High School or more Education | 0.101 | 0.3 | 0.766 |
| Employed | 0.682 | 1.5 | 0.642 |
| African American | −4.651 | 1.6 | 0.005 |
| Hispanic | −2.994 | 2.3 | 0.202 |
| Years of Primary Stimulant Use | −0.020 | 0.1 | 0.820 |
| Days of Cocaine Use | −0.047 | 0.1 | 0.553 |
| Days of Methamphetamine Use | −0.046 | 0.1 | 0.647 |
| Alcohol Dependence | 2.155 | 1.4 | 0.119 |
| Marijuana Dependence | 1.015 | 1.5 | 0.485 |
| Nicotine Dependence Intensity | 0.519 | 1.5 | 0.722 |
| Manic Episode | 3.450 | 3.2 | 0.288 |
| Panic Disorder | 5.636 | 3.2 | 0.076 |
| Obsessive Compulsive Disorder (OCD) | 4.545 | 2.9 | 0.119 |
Notes. A follow-up analysis, showed that gender (B=3.23, SE=1.5, p=.031) was associated with abstinence symptom severity after two variables were removed from the model, i.e., 1) panic disorder and 2) OCD.