2013
DOI: 10.1007/s10461-013-0512-2
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Substance Abuse Treatment Utilization, HIV Risk Behaviors, and Recruitment Among Suburban Injection Drug Users in Long Island, New York

Abstract: Prevention and treatment of injection drug use remains a public health concern. We used data from the 2005 Centers for Disease Control and prevention National HIV Behavioral Surveillance system to assess substance abuse treatment utilization, risk behaviors, and recruitment processes in a respondent driven sample of suburban injectors. Twelve service utilization and injection risk variables were analyzed using latent class analysis. Three latent classes were identified: low use, low risk; low use, high risk; a… Show more

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Cited by 13 publications
(14 citation statements)
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“…Using LCA, 4 risk classes were identified, each comprising approximately a quarter of the sample: low risk (low on all risk indicators), high injection/low sexual risk (high conditional probabilities for injection risk and low conditional probabilities for sexual risk), low injection/high sexual risk (low conditional probabilities for injection risk and high probabilities for sexual risk), and high risk (high conditional probabilities on all injection and sexual risk indicators). The latent class groups were substantively similar to those found in prior studies among urban PWID, wherein low‐, moderate‐, and high‐risk groups were identified. The proportion of PWID considered “high risk,” however, was lower in this study than previous urban LCA studies, which may be a function of slightly different risk indicators and possible geographic and cultural differences.…”
Section: Discussionsupporting
confidence: 83%
See 1 more Smart Citation
“…Using LCA, 4 risk classes were identified, each comprising approximately a quarter of the sample: low risk (low on all risk indicators), high injection/low sexual risk (high conditional probabilities for injection risk and low conditional probabilities for sexual risk), low injection/high sexual risk (low conditional probabilities for injection risk and high probabilities for sexual risk), and high risk (high conditional probabilities on all injection and sexual risk indicators). The latent class groups were substantively similar to those found in prior studies among urban PWID, wherein low‐, moderate‐, and high‐risk groups were identified. The proportion of PWID considered “high risk,” however, was lower in this study than previous urban LCA studies, which may be a function of slightly different risk indicators and possible geographic and cultural differences.…”
Section: Discussionsupporting
confidence: 83%
“…Latent class analysis (LCA) is a statistical method which aims to identify subgroups within a population that share similar profiles on a set of observed indicators . Prior research among PWID that employed LCA suggests gradations of risk based on injection and sexual risk practices, with most studies finding a low‐risk group consisting of individuals who have low probabilities of engaging in injection and sexual risk behavior, a high‐risk group consisting of individuals who have high probabilities of engaging in both injection and sexual risk behaviors, and at least 1 additional group that does not fit this pattern . Much of this research has applied LCA to understanding risk subtypes among large urban samples, and additional research is needed to examine whether or not profiles found in existing research can be replicated for other PWID populations.…”
mentioning
confidence: 99%
“…Monitoring the Future, which conducts high school drug use surveys [7], has reported increases in heroin and pharmaceutical opioid use over the past two decades, but these may be low-end prevalence estimates since the reporting of stigmatized behaviors like hard drug use are likely to be under-reported. Despite statistical evidence for these trends, we could identify only three recently published quantitative studies on factors associated with suburban drug use, and two of the three focused on teenagers [810]. …”
Section: Introductionmentioning
confidence: 99%
“…37 LCA does not assume linearity, normality, and homogeneity of variances as opposed to the traditional methods. 38 LCA has been extensively used to identify underlying profiles alcohol and substance abuse 26,27,39,40 and HIV risk behavior studies 25,28,41 . Similar to these studies, our study also utilized LCA to analyze the spectrum of HIV risk behaviors for identifying groups of individuals who share similar HIV risk characteristics.…”
Section: Methodsmentioning
confidence: 99%