MSM and Drug Use: A Latent Class Analysis of Drug Use and Related Sexual Risk Behaviors
- 1k Downloads
This study examined patterns of drug use among gay men and other men who have sex with men (MSM) to identify sub-categories of men whose drug use and sexual behavior place them at especially high risk for HIV. A latent class analysis of a sample of MSM yielded a four-class model with two distinct high drug use sub-groups: one whose drug use concentrated on “sex-drugs” (SDU); and a distinct polydrug use class that showed higher probabilities of using all other drugs assessed. Comparative follow-up analyses indicated the SDU group was also more likely to engage in particular potentially high-risk sexual behaviors, be older, and to be HIV positive. Implications of distinguishing between patterns of drug use for HIV-risk prevention efforts with MSM are discussed.
KeywordsMSM Drug use Sexual behavior HIV Latent class Sex drugs
Data used in this study were collected as part of an HIV prevention and health promotion project for MSM funded by the Chicago Department of Public Health (CDPH) STD/HIV/AIDS Division as part of their Special Projects of Innovative Significance (SPInS) funding program. Participating agencies included: the AIDS Foundation of Chicago, the Test Positive Aware Network, Howard Brown Health Center, and the Center on Halsted. Points of view and opinions contained within this document are those of the authors and do not necessarily reflect the official positions of the participating agencies.
- 4.Centers for Disease Control.: HIV amongst gay and bisexual men. Available at: http://www.cdc.gov/hiv/topics/msm/pdf/msm.pdf (2012). Accessed 30 Jan 2013.
- 5.NIDA Community Epidemiology Working Group.: Epidemiologic trends in drug abuse. Available at: http://www.drugabuse.gov/sites/default/files/files/CEWG_jan_2010_508_REV.pdf (2010). Accessed 20 May 2013.
- 19.VanDevanter N, Duncan A, Burrell-Piggott T, Bleakley A, Birnbaum J, Siegel K, et al. The influence of substance use, social sexual environment, psychosocial factors, and partner characteristics on high-risk sexual behavior among young Black and Latino men who have sex with men living with HIV: a qualitative study. AIDS Patient Care STDS. 2011;25(2):113–21.PubMedCentralPubMedCrossRefGoogle Scholar
- 20.Swartz JA, Berkey B, Gratzer B, Koehlinger S, Merrell J, Reid C, Sharp M. Chicago crystal prevention needs assessment report. Chicago: Chicago Department of Public Health; 2008.Google Scholar
- 22.Ostrow DG, Stall R, Jantz I, Berona J, Herrick A, Carrico A, et al. Predictors of long-term trajectories (2003–2010) of sex-drug and heavy alcohol (SDA) use among MSM. J Int AIDS Soc. 2012;14(suppl 3):194–5.Google Scholar
- 23.Asparouhouv T, Muthén BO.: Wald test of mean equality for potential latent class predictors in mixture modeling. Available at: http://www.statmodel.com/download/MeanTest1.pdf (2013). Accessed 21 Jan 2013.
- 26.Kessler RC, Green JG, Gruber MJ, Sampson NA, Bromet E, Cuitan M, et al. Screening for serious mental illness in the general population with the K6 screening scale: results from the WHO World Mental Health (WMH) survey initiative. Int J Methods Psychiatr Res. 2010;19(1):4–22.PubMedCentralPubMedCrossRefGoogle Scholar
- 29.IBM Corp. Released 2011. IBM SPSS Statistics for Windows, Version 20.0. Armonk, NY: IBM Corp.Google Scholar
- 30.Muthén LK, Muthén BO. Mplus user’s guide. 6th ed. Los Angeles, CA: Muthén & Muthén; 1998–2010.Google Scholar
- 33.Clark S, Muthen B.: Relating latent class analysis results to variables not included in the analysis. Available at: https://www.statmodel.com/download/relatinglca.pdf (2009). Accessed 20 May 2013.