Proportional hazards regression models were conducted to evaluate time to any alcohol use (alcohol relapse) and time to heavy drinking (heavy drinking relapse). Multiple regression was used to evaluate predictors of aftercare treatment engagement. Preliminary models assessed the contribution of sociodemographic variables (age, sex, race, IQ) and clinical characteristics (smoking status, baseline alcohol use prior to inpatient admission, and lifetime history of mood and anxiety disorders) and recent other drug use to assess their independent effects on relapse risk and treatment engagement. If any of these variables were predictive of outcome measures, they were included in the prediction models to assess the specific and independent effects of HPA axis responses, anxiety, and craving on relapse and treatment outcomes.
