Neighborhood Characteristics And Prescription Drug Misuse Among Adolescents: The Importance Of Social Disorganization And Social Capital

Background Prior research on prescription drug misuse has focused on identifying individual risk factors. While a few studies examine differences in misuse based on geographic residence, there is a lack of research that examines the relevance of neighbourhood characteristics. Methods The current research used data from the 2000 National Household Survey on Drug Abuse, a sample of respondents that was generalizable to the non-institutionalised population of the United States. Logistic regression models were estimated to examine the relationship between neighbourhood characteristics (e.g., social disorganisation, social capital, and social participation) and prescription drug misuse (e.g., any misuse, pain reliever misuse, sedative/tranquiliser misuse, and stimulant misuse) among adolescent respondents ages 12–17. Results Findings show that neighbourhood characteristics were significantly associated with any prescription drug misuse and also the misuse of prescription opioids. Adolescents in socially disorganised neighbourhoods and also those in neighbourhoods with lower levels of social capital were more likely to report prescription drug misuse. Interestingly, adolescents with greater levels of social participation were more likely to report prescription drug misuse. Conclusion These findings were largely consistent with prior research examining the significance of neighbourhood characteristics in relation to crime and deviance. In order to adequately address the ongoing prescription drug epidemic in the United States, policy makers must address the neighbourhood characteristics that are known to be associated with prescription drug misuse

Florida’S Task Force Approach To Combat Human Trafficking: An Analysis Of County-Level Data

Since emerging in the USA during the 1990s, the multi-agency task force has become the preferred organizational structure for enforcing human trafficking laws and providing assistance to victims. These task forces often work across county lines and typically include law enforcement agencies, as well as social service and non-governmental organizations. The effect of collaborations with other types of agencies on law enforcement’s human trafficking arrests is unknown. County-level arrest data for human trafficking first became available through the Federal Bureau of Investigation in 2014. In this paper, we present findings from county-level analyses with human trafficking arrests in the State of Florida as the dependent variable. Independent variables include the presence of a task force, sociodemographic characteristics, tourism measures, and police officers per capita. The strongest predictor of human trafficking arrests is the presence of a task force