RTI uses cookies to offer you the best experience online. By clicking “accept” on this website, you opt in and you agree to the use of cookies. If you would like to know more about how RTI uses cookies and how to manage them please view our Privacy Policy here. You can “opt out” or change your mind by visiting: http://optout.aboutads.info/. Click “accept” to agree.
Using social indicators to estimate county-level substance abuse intervention and treatment needs
Stahl, M., Wiesen, C., Flewellling, R. L., Weimer, B., Bray, R., & Rachal, J. (2001). Using social indicators to estimate county-level substance abuse intervention and treatment needs. Substance Use and Misuse, 36(4), 501-521. https://doi.org/10.1081/JA-100102639
This study describes the development of a model for estimating county-level substance use intervention and treatment needs using social indicators. Forty-five indicators conceptually related to substance misuse were reduced through factor analysis. Logistic regression models were then developed using selected indicators to predict service needs. The following variables were significant predictors of substance use intervention and treatment needs: the percent of the population who is male aged 15 to 34, urbanicity, and population density. The results suggest that substance misuse may be successfully modeled by a few easy to obtain and reliably measured variables describing the population characteristics of local communities.