Table 2.
Cox Regression Models Giving the Effects of Selected Predictor Variables on Time to Alcohol Use Following Release (n = 210)
| Predictor | Unadjusted HRa (95% CIb) | Adjusted HRa (95% CIb) |
|---|---|---|
| Age | 0.98 (0.87,1.11) | |
| Race | ||
| White | 0.75 (0.53,1.07) | |
| African American | 0.72 (0.48,1.11) | |
| Other [reference] | [1.00] | |
| Education | 0.99 (0.86,1.14) | |
| % days used alcohol (baseline) | 1.09 (0.96,1.25) | |
| Norms supporting alcohol use | 1.33** (1.18,1.50) | 1.29** (1.13,1.46) |
| Partner has alcohol problem | 1.62** (1.25,2.11) | 1.48** (1.14,1.92) |
| Beck Depression Inventory | 1.08 (0.95,1.22) | |
| Cocaine use frequency | 1.03 (0.90,1.18) | |
| Heroin use frequency | 0.95 (0.83,1.09) | |
| # Nights in ACI prior to release | 0.82* (0.69,0.96) | 0.84* (0.73,0.99) |
| 1st night postrelease street or shelter | 1.28 (0.86,1.90) | |
| Index of physical and sexual abuse | 1.09 (0.96,1.24) | |
| Intervention | 0.93 (0.72,1.20) | |
*
p < .05,
**
p < .01
a
Hazard ratio
b
Confidence interval estimates and tests of significance were based on robust variance estimators.
Adjusted for variables with p < .05