Risk behaviors of youth living with HIV: pre-and post-HAART

Center for Community Health, AIDS Institute, Department of Psychiatry, University of California, Los Angeles, CA, USA.
American journal of health behavior (Impact Factor: 1.31). 03/2005; 29(2):162-71. DOI: 10.5993/AJHB.29.2.7
Source: PubMed

ABSTRACT To examine the transmission behavior among youth living with HIV (YLH), pre- and post-HAART.
Two cohorts were recruited: (1) 349 YLH during 1994 to 1996 and (2) 175 YLH during 1999 to 2000, after the wide availability of HAART. Differences in sexual and substance-use risk acts and quality of life were examined.
Post-HAART YLH were more likely to engage in unprotected sex and substance use, to be more emotionally distressed, and to have lower quality of life than were pre-HAART YLH.
Targeted interventions for YLH that address reductions in transmission acts and aim to improve quality of life are still needed.

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Available from: Dallas Swendeman, Feb 19, 2015
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    • "Interest lies in comparing the two intervention delivery modes, comparing treatments to control, and in estimating effects of predictors known to be important. Our outcome in this paper is the self-reported number of sexual partners during the past three months, an important measure of sexual risk behavior (Rotheram-Borus et al. 2001; Lightfoot et al. 2005). "
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    ABSTRACT: We analyze longitudinal self-reported counts of sexual partners from youth living with HIV. In self-reported survey data, subjects recall counts of events or behaviors such as the number of sexual partners or the number of drug uses in the past three months. Subjects with small counts may report the exact number, whereas subjects with large counts may have difficulty recalling the exact number. Thus, self-reported counts are noisy, and mis-reporting induces errors in the count variable. As a naive method for analyzing self-reported counts, the Poisson random effects model treats the observed counts as true counts and reporting errors in the outcome variable are ignored. Inferences are therefore based on incorrect information and may lead to conclusions unsupported by the data. We describe a Bayesian model for analyzing longitudinal self-reported count data that formally accounts for reporting error. We model reported counts conditional on underlying true counts using a linear birth-death process and use a Poisson random effects model to model the underlying true counts. A regression version of our model can identify characteristics of subjects with greater or lesser reporting error. We demonstrate several approaches to prior specification.
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    • "There is a great deal of literature describing the sexual risk behaviors of HIV+ youths who were behaviorally infected, with these youths engaging in a higher prevalence of sexual risk behaviors than the general population (Kadivar et al. 2006; Koenig et al. 2007; Lightfoot et al. 2005; Murphy et al. 2001; Naar-King et al. 2006). Extrapolating data from samples of adolescents with behaviorally acquired HIV, however, may be inadequate or insufficient to tailor harm reduction strategies for PHIV youth. "
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    • "At this stage, 101 articles were excluded for not meeting inclusion criteria, and the full-text versions of 65 articles were pulled for further screening. Of these, 3 articles met the criteria for inclusion in this review as a primary article (Moatti et al., 2003; Bateganya et al., 2005; Bunnell et al., 2006), and 59 were included as background articles (Mussico et al., 1994; Kelly et al., 1998a; Kelly et al., 1998b; Remien et al., 1998; van der Straten, 1998; DeNoon, 1999; Misovich et al., 1999; Colebunders et al., 2000; Erbelding et al., 2000; Miller et al., 2000; Vanable et al., 2000; van der Straten et al., 2000; Wood et al., 2000; Catz et al., 2001; Dukers et al., 2001; Vlahov et al., 2001; Bouhnik et al., 2002; Chen et al., 2002; Crepaz et al., 2002; Demmer, 2002; DiClemente et al., 2002; Hosseinipour et al., 2002; Katz et al., 2002; Laporte, 2002; Nollen et al., 2002; Ostrow et al., 2002; Gray et al., 2003; International Collaboration on HIV Optimism, 2003; Rietmeijer et al., 2003; Rothenberg et al., 2003; Stephenson et al., 2003; Xiridou et al., 2003; Boily et al., 2004; Crepaz et al., 2004; Fang et al., 2004; Stolte et al., 2004; Texeira et al., 2004; Tun et al., 2004; Williamson et al., 2004; Abadia- Barrero et al., 2005; Akileswaran et al., 2005; Bachmann et al., 2005; Baez-Feliciano et al., 2005; Baggaley et al., 2005; Batterham et al., 2005; Blower et al., 2005; Boily et al., 2005; Castilla et al., 2005; Chulamokha et al., 2005; Diamond et al., 2005; Elford et al., 2005; Halkitis et al., 2005; Hogan et al., 2005; Jelsma et al., 2005; Lightfoot et al., 2005; Munoz-Laboy et al., 2005; Remien et al., 2005; van der Snoek et al., 2005; Van de Ven et al., 2005). Table I presents a description of the three primary articles included in this review. "
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