title: The drugs-violence nexus among rural felony probationers.
abstract: Little research has focused on the drugs-violence nexus in rural areas. As such, the purpose of this study is to use Goldstein's tripartite conceptual framework to examine the relationship between drugs and violence among felony probationers in rural Appalachian Kentucky (n = 799). Data on demographics, substance use criminal history, and violence were collected between 2001 and 2004 using an interviewer-administered questionnaire. Rural probationers are partitioned into four groups based on lifetime violent victimization/perpetration experiences: (a) neither a perpetrator nor a victim, (b) perpetrator only, (c) victim only, and (d) both a perpetrator and a victim. Chi-square analyses indicate substance use, and criminal history varies across the four groups. Binary logistic regression analyses are used to explore the significant correlates of both perpetration and victimization. Multivariate analyses support both the psychopharmacological model and the economic compulsive models of perpetration and victimization. Further implications of these findings are discussed.
authors: University of Kentucky, Sociology Department, Center on Drug and Alcohol Research, Lexington, Kentucky 40506, USA. cboser0@uky.edu
authors: Carrie B
authors: CB
authors: Oser
authors: Jennifer L
authors: JL
authors: Mooney
authors: Michele
authors: M
authors: Staton-Tindall
authors: Carl G
authors: CG
authors: Leukefeld
mesh_terms: D000328:Adult; D017677:Age Distribution; D000704:Analysis of Variance; D003415:Crime / Q000523:psychology / Q000706:statistics & numerical data*; D019548:Crime Victims / Q000523:psychology / Q000706:statistics & numerical data*; D005260:Female; D006801:Humans; D007629:Kentucky / Q000453:epidemiology; D016015:Logistic Models; D008297:Male; D008875:Middle Aged; D015995:Prevalence; D011329:Prisoners / Q000523:psychology / Q000706:statistics & numerical data*; D011788:Quality of Life; D012307:Risk Factors; D012424:Rural Population / Q000706:statistics & numerical data*; D017678:Sex Distribution; D012931:Social Environment; D012959:Socioeconomic Factors; D019966:Substance-Related Disorders / Q000453:epidemiology* / Q000523:psychology; D055815:Young Adult