Table 4.
GEE Logistic Regression Models of Relationships Between Psychiatric Trajectories and Alcohol and Drug Abstinence
| Abstinence From Alcohol |
Abstinence From Drugs |
|||||
|---|---|---|---|---|---|---|
| OR | 95% C.I. | Type 3 p | OR | 95% C.I. | Type 3 p | |
| Psychiatric trajectory groups | ||||||
| Deteriorating vs. low severity | ns | ns | ns | 0.61 | (0.42, 0.87) | .0090 |
| Improving vs. low severity | ns | ns | ns | 0.61 | (0.40, 0.93) | .0292 |
| High severity vs. low severity | ns | ns | ns | 0.43 | (0.29, 0.66) | .0002 |
| Index treatment | ||||||
| Length of stay (per 1 week increase) | 1.04 | (1.03, 1.05) | < .0001 | 1.04 | (1.02, 1.06) | < .0001 |
| Day hospital vs. treatment as usual | ns | ns | ns | ns | ns | ns |
| Baseline ASI composites | ||||||
| Alcohol (per 0.1 increase) | 0.95 | (0.91, 0.98) | .0039 | ns | ns | ns |
| Drug (per 0.1 increase) | ns | ns | ns | 0.55 | (0.47, 0.63) | < .0001 |
| Medical (per 0.1 increase) | ns | ns | ns | 1.04 | (1.00, 1.07) | .0439 |
| Psychiatric (per 0.1 increase) | ns | ns | ns | ns | ns | ns |
| Baseline demographic characteristics | ||||||
| Age 30 to 39 vs. younger than 30 | 1.71 | (1.32, 2.22) | < .0001 | 1.63 | (1.17, 2.26) | .0053 |
| Age 40 to 49 vs. younger than 30 | 2.23 | (1.66, 3.01) | < .0001 | ns | ns | ns |
| Age 50 and older vs. younger than 30 | 2.12 | (1.41,3.18) | .0003 | 3.44 | (1.47, 8.07) | .0015 |
| Female vs. male | 1.57 | (1.25, 1.96) | .0001 | ns | ns | ns |
| Education | ns | ns | ns | ns | ns | ns |
| Income | ns | ns | ns | ns | ns | ns |
| Married vs. not | ns | ns | ns | ns | ns | ns |
| Employed vs. not | ns | ns | ns | ns | ns | ns |
| Marital and employment status at follow-ups | ||||||
| Married vs. not | ns | ns | ns | 1.31 | (1.01, 1.68) | .0377 |
| Employed vs. not | ns | ns | ns | 1.43 | (1.15, 1.78) | .0013 |
Note: GEE = Generalized Estimation Equation; OR = odds ratio; C.I. = confidence interval; ASI = Addiction Severity Index; ns = not significant at p < .05 level.