Predicting Relapse during Addiction Recovery

We examined predictors of relapse among residents of a 12-step sober living home.  A multiple regression model containing perceived social support, impulsivity, and codependency significantly predicted relapse number during recovery, accounting for 53.6% of the variability.  Perceived social support and impulsivity were significant predictors, while codependency was trending toward significance.