Table 2.
Logistic Regression Coefficients Preliminary Model (N = 378)
| Variable | Odds Ratio | 95% CI (Lower, Upper) | Wald χ2 | p |
|---|---|---|---|---|
|
Demographics
| ||||
| Age | 1.08 | 1.02, 1.14 | 7.8 | .005 |
| Gender | 1.45 | 0.75, 2.79 | 1.2 | .265 |
|
| ||||
|
Drug History
| ||||
| Intravenous heroin use lifetime, Yes/No | 0.41 | 0.22, 0.76 | 7.9 | .005 |
| Heroin use, lifetime years | 1.00 | 0.97, 1.04 | 0.0 | .885 |
| Any cocaine use, past 30 days, Yes/No | 0.56 | 0.31, 1.00 | 3.8 | .052 |
| Cocaine use, lifetime years | 1.03 | 0.99, 1.07 | 2.6 | .107 |
| Prior Meth Tx only, Yes/No | 0.55 | 0.30, 1.00 | 3.7 | .055 |
| Prior Bup Tx only, Yes/No | 4.81 | 2.27, 10.79 | 15.8 | <.001 |
| Prior Meth and Bup Tx, Yes/No | 2.92 | 1.21, 7.61 | 5.4 | .021 |
|
| ||||
|
Legal
| ||||
| Currently on Probation/Parole, Yes/No | 1.15 | 0.69, 1.94 | 0.3 | .592 |
| Months of incarceration, lifetime number | 1.00 | 1.00, 1.00 | 1.5 | .225 |
| Any days of illegal acts in past 30 days, Yes/No | 1.02 | 0.60, 1.73 | 0.0 | .956 |
|
| ||||
|
Health
| ||||
| Number of days of medical problems in past 30 days | 1.07 | 1.03, 1.12 | 9.7 | .002 |
| Any days of depression in past 30 days, Yes/No | 3.09 | 1.17, 9.05 | 4.8 | .029 |
| Depression, lifetime, Yes/No | 3.97 | 2.02, 8.04 | 15.5 | <.001 |
|
| ||||
|
Employment
| ||||
| Length of longest full-time job in months | 1.00 | 0.99, 1.00 | 0.4 | .543 |
| Worked in past 30 days, Yes/No | 1.41 | 0.81, 2.48 | 1.5 | .223 |
Note. Likelihood Ratio Chi-Square of the full model = 143.7, df = 17, p <.001
Note. The dependent variable is type of treatment coded: 0 = methadone, 1 = buprenorphine