title: Gender differences in street economy and social network correlates of arrest among heroin injectors in Baltimore, Maryland.
abstract: In a sample of 761 heroin injectors in Baltimore, Maryland, correlates of arrest for drug-related and non-drug-related criminal offenses, by gender, were examined. This investigation examined gender differences in involvement in the drug economy and correlates of arrest. Correlates included roles in the street drug economy, social network attributes, and economic and demographic variables. Gender differences were found. Selling drugs was strongly associated with drug-related arrests for males. Steering (i.e., publicizing drug brands) was highly associated with drug-related arrests for females. Level of heroin addiction was associated with drug-related arrests for males, but not for females. The associations of social network variables with arrests also differed by gender. For females but not males, a higher number of females in one's network was associated with a lower frequency of arrests. For males, having at least one heroin injector in the personal network was associated with a decreased frequency of arrest, while for females the direction of the association was reversed. These findings suggest the importance of modeling drug behaviors by gender.
authors.affiliation: Division of Social and Behavioral Sciences, Department of Health Policy and Management, Johns Hopkins Bloomberg School of Public Health, Baltimore, Maryland 21205, USA. acurry@jhsph.edu
authors.forename: Aaron D
authors.initials: AD
authors.lastname: Curry
authors.forename: Carl A
authors.initials: CA
authors.lastname: Latkin
mesh_terms: D000328:Adult; D015142:Baltimore / Q000453:epidemiology; D003415:Crime / Q000191:economics / Q000706:statistics & numerical data*; D004335:Drug and Narcotic Control / Q000706:statistics & numerical data*; D005260:Female; D006556:Heroin Dependence / Q000191:economics* / Q000453:epidemiology; D006801:Humans; D007398:Interpersonal Relations; D007407:Interviews as Topic; D008297:Male; D008875:Middle Aged; D012309:Risk-Taking; D012737:Sex Factors; D012944:Social Support; D015819:Substance Abuse, Intravenous / Q000191:economics* / Q000453:epidemiology; D014504:Urban Health