Existing evidence-based HIV risk reduction interventions have not been designed for implementation within clinical settings, such as methadone maintenance programs, where many high-risk drug users seek treatment services. We therefore systematically developed an adapted, significantly shortened, version of a comprehensive evidence-based intervention called the Community-friendly Health Recovery Program (CHRP) which has demonstrated preliminary evidence of efficacy in a feasibility/acceptability study already published. In a randomized controlled trial reported here, we tested the efficacy of the CHRP intervention among high-risk drug users newly enrolled in drug treatment at an inner-city methadone maintenance program. The CHRP intervention produced improvements in drug risk reduction knowledge as well as demonstrated sex- and drug-risk reduction skills. Support was found for the IMB model of health behavior change. Implications for future intervention research and practice are considered.
Researchers examining injection drug users (IDUs) in drug treatment have been trying for decades to determine the optimal way to intervene to prevent the transmission and spread of human immunodeficiency virus (HIV) in this population. Although efficacious HIV risk reduction interventions are widely available, questions remain about what specific factors are most related to HIV risk behavior and defined as unprotected sexual activity and/or high risk drug use. This review involved an evaluation of the research literature in order to better understand the association between drug use and sexual behavior debut on HIV risk behavior. Findings suggest that drug use debut and sexual behavior debut may be related to subsequent HIV risk behavior. Evidence to date implies that intervening at an earlier age to assist youth to avoid or delay these high risk behaviors may be an additional means of reducing subsequent HIV risk.
Background Among general population studies, lower rates of binge drinking tend to be found among African Americans and Hispanics compared to Whites. However, among older adult populations, minority groups have been shown to be at higher risk for binge drinking, suggesting the presence of a crossover effect from low to high risk as a function of age. Aims To date, limited research has examined the crossover effect among African American and Hispanic populations compared to non-Hispanic Whites across large developmental time frames or explored variation in risk based on income or gender. The current study aimed to fill these gaps in the literature. Methods Data were compiled from the 2010-2013 National Survey on Drug Use and Health surveys, which provide annual, nationally representative data on substance use behaviors among individuals age 12 and older. Hispanic, non-Hispanic African American, and non-Hispanic White respondents were included (N = 205,198) in the analyses. Results A crossover effect was found for African American males and females among the lowest income level (i.e., incomes less than $20,000). Specifically, after controlling for education and marital status, compared to Whites, risk for binge drinking was lower for African American males at ages 18-24 and for females at ages 18-34, but higher for both African American males and females at ages 50 to 64. No crossover effect was found for Hispanic respondents. Conclusions Although African Americans are generally at lower risk for binge drinking, risk appears to increase disproportionately with age among those who are impoverished. Social determinants of health prevalent within low-income African American communities (e.g., lower education, violence exposure, housing insecurity) and potential areas for intervention programming are discussed.
This paper lays the groundwork for modeling the quantification of sensor coverage for Unmanned Aircraft (UA) swarms of sensors. The concept of information expectation is defined, elaborated, and illustrated. Areas of interest (AOI)s are analyzed from a swarm standpoint to determine the quantity of coverage afforded by a swarm of multiple sensor-laden UAs. This work also investigates the coverage of AOIs as determined by the mission duration, area of the region, and time-variable swarm geometry. By experimentation using simulation, we gain insight into the quantifiable influence of varying swarm sizes and configurations on area coverage. This in turn allows validation of formulae and algorithms for computing approximation of expected opportunities for relevant information collection.
Background Cocaine use and its consequences are disproportionately higher and more severe among African Americans compared to other ethnic/racial groups. Objectives The aims of this study were to examine a risk model specific for African American users and assess whether risk varies as a function of sex. Methods 270 African American adults in a residential drug treatment facility completed measurements assessing first and past year crack/cocaine use frequency, childhood trauma, and stress reactivity. Multiple linear regression analysis was used to examine the unique effect of each predictor variable on past year crack/cocaine frequency. Sex was included as a moderator variable in the regression analysis. Results All predictor variables were positively correlated with past year crack/cocaine use. However, sex differences were also observed: females reported higher rates of childhood emotional abuse, childhood sexual abuse, and stress reactivity – as well as past year crack use and cocaine use – than males. Regression analyses were performed with sex, first year use, and stress reactivity emerging as the only significant predictors for frequency of crack and cocaine use among all study participants. Moreover, sex differences were observed in the influence of first year crack use frequency on past year crack use frequency, such that the effect was stronger for males than for females. Conclusion/Importance This study offers a clearer understanding of the risk factors for crack and cocaine abuse specific to African Americans, as well as sex specific pathways to risk, providing useful implications for future prevention and treatment efforts.
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