Contrasting predictors of readiness for substance abuse treatment in adults and adolescents: A latent variable analysis of DATOS and DATOS-A participants

Abstract: Although readiness for substance abuse treatment is a potent predictor of short-term clinical response, predictors of readiness are still poorly understood. Predictive models are customarily not predicated on dependence or abuse, but usually focus instead on intrapsychic motivational change or external contextual incentives. Based on a secondary analysis of the drug abuse treatment outcome studies (DATOS) data set for adults and a similar data set for adolescents (DATOS-A), latent variables were constructed to represent readiness for treatment, various psychosocial and behavioral features of substance use, substance-related problems and specific substance use frequency. Identical measures were used for each group. The two groups were then directly compared using a series of constrained covariance structure models. A path model using all hypothesized latent variables, treatment modality and demographics predicted Readiness for treatment in each separate group. Substance problems, a latent variable reflecting cross-substance symptoms of dependence and abuse, was the strongest predictor of Readiness for treatment in both age groups. Health problems and deviant family/peers were also strong predictors of readiness in both age groups. Demographic variables and specific substances used predicted readiness directly and indirectly in an age-specific manner. This study links readiness for substance abuse treatment to the core disorders targeted by that treatment in adults and adolescents for the first time. [Copyright &y& Elsevier]