USING SOCIAL INDICATORS TO ESTIMATE COUNTY-LEVEL SUBSTANCE USE INTERVENTION AND TREATMENT NEEDS

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 usin...

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Veröffentlicht in:Substance use & misuse 2001-01, Vol.36 (4), p.501-521
Hauptverfasser: Herman-Stahl, Mindy, Wiesen, Christopher A., Flewelling, Robert L., Weimer, BeLinda J., Bray, Robert M., Rachal, J. Valley
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container_end_page 521
container_issue 4
container_start_page 501
container_title Substance use & misuse
container_volume 36
creator Herman-Stahl, Mindy
Wiesen, Christopher A.
Flewelling, Robert L.
Weimer, BeLinda J.
Bray, Robert M.
Rachal, J. Valley
description 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.
doi_str_mv 10.1081/JA-100102639
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Valley</creatorcontrib><title>USING SOCIAL INDICATORS TO ESTIMATE COUNTY-LEVEL SUBSTANCE USE INTERVENTION AND TREATMENT NEEDS</title><title>Substance use &amp; misuse</title><addtitle>Subst Use Misuse</addtitle><description>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. 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source Applied Social Sciences Index & Abstracts (ASSIA); MEDLINE; Taylor & Francis Medical Library - CRKN; Taylor & Francis Journals Complete; Sociological Abstracts
subjects Addictive behaviors
Adolescent
Adult
Adult and adolescent clinical studies
Biological and medical sciences
Counties
Demography
Drug addiction
Health Services Needs and Demand
Humans
Intervention
Male
Males
Medical sciences
Mental Health Services - supply & distribution
Needs Assessment
Population Density
Prevention and actions
Psychology. Psychoanalysis. Psychiatry
Psychopathology. Psychiatry
Public health. Hygiene
Public health. Hygiene-occupational medicine
Social Indicators
Socioeconomic Factors
Specific populations (family, woman, child, elderly...)
Substance Abuse
Substance misuse
Substance-Related Disorders - diagnosis
Substance-Related Disorders - epidemiology
Substance-Related Disorders - therapy
Treatment
Urban Areas
USA
Young Adults
title USING SOCIAL INDICATORS TO ESTIMATE COUNTY-LEVEL SUBSTANCE USE INTERVENTION AND TREATMENT NEEDS
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