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

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 exter...

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Bibliographic Details
Published in:Drug and alcohol dependence 2005-10, Vol.80 (1), p.63-81
Main Authors: Handelsman, Leonard, Stein, Judith A., Grella, Christine E.
Format: Article
Language:English
Subjects:
Addictive behaviors
Adolescent
Adolescents
Adult
Adult and adolescent clinical studies
Adults
Aged
Aged, 80 and over
Alcoholism - psychology
Alcoholism - rehabilitation
Ambulatory Care
Analysis of Variance
Biological and medical sciences
Child
DATOS
DATOS-A
Drug addiction
Female
Humans
Male
Medical sciences
Middle Aged
Models, Statistical
Motivation
Outcome and Process Assessment (Health Care) - statistics & numerical data
Patient Acceptance of Health Care - psychology
Predictors
Psychology. Psychoanalysis. Psychiatry
Psychopathology. Psychiatry
Readiness
Readiness for treatment
Substance abuse
Substance Abuse Treatment Centers
Substance-related disorders
Substance-Related Disorders - psychology
Substance-Related Disorders - rehabilitation
Toxicology
Treatment
United States
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Summary: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.
ISSN:0376-8716
1879-0046
DOI:10.1016/j.drugalcdep.2005.03.022