RESUMEN
Sexual minority men (SMM) with HIV are disproportionately impacted by stigma and mental health disorders. Guided by the Stigma and Substance Use Process Model, we evaluated how HIV stigma impacts mental health outcomes among SMM with HIV. Data were drawn from Thrive With Me, an RCT of an mHealth intervention targeting ART adherence among SMM with HIV. Path analyses tested the relationships between HIV stigma, depression, stress, and recent stimulant use. Overall, 49.1% (194/401) had depression symptoms, 68.8% (276/401) had moderate-to-high stress, and 28.1% (111/401) had detectable stimulant use in urine samples at baseline. In path analyses, baseline internalized HIV stigma was associated with depression and stress 5-months post-baseline and enacted stigma was associated with recent stimulant use 11-months post-baseline. We identified internalized and enacted HIV stigma, but not anticipated stigma, as potentially important intervention targets for stimulant use, depression, and stress among SMM with HIV.
Asunto(s)
Infecciones por VIH , Minorías Sexuales y de Género , Trastornos Relacionados con Sustancias , Depresión/epidemiología , Infecciones por VIH/tratamiento farmacológico , Humanos , Masculino , Estigma Social , Trastornos Relacionados con Sustancias/epidemiologíaRESUMEN
BACKGROUND: Racially diverse sexual minority men (SMM) are disproportionately impacted by the U.S. HIV epidemic. Substance use, particularly stimulant use, may impact viral suppression for SMM living with HIV. The current study sought to characterize patterns of substance use via latent class analysis (LCA) and test associations between those patterns and future viral load outcomes, among SMM living with HIV. METHODS: Data were drawn from Thrive With Me (TWM), an RCT of an mHealth intervention targeting ART adherence among SMM living with HIV. LCA was performed with six dichotomous indicators of substance use, derived from validated measures and urinalysis results, to determine substance use classes at baseline. Bivariate and multivariable logistic regression models tested associations between baseline substance use classes and HIV viral load 5-months post-baseline. RESULTS: Among 383 SMM living with HIV, we identified a three-class model of substance use fit best: low probability substance use (81.3 %), high probability hazardous alcohol, marijuana, and cocaine use (7.5 %), and high probability methamphetamine and amphetamine use (11.2 %). Additionally, the high probability amphetamine use class was less likely to be virally suppressed at 5-month follow-up compared to the low probability substance use class [Adjusted Odds Ratio = 3.34, 95 % Confidence Interval = 1.39-7.99, p = .0069]. CONCLUSION: We identified that some patterns of substance use (i.e., methamphetamine and amphetamine use), but possibly not others (e.g., alcohol, marijuana, and cocaine use), are potentially important intervention targets for improving HIV-related outcomes among racially diverse SMM living with HIV.
Asunto(s)
Infecciones por VIH , Minorías Sexuales y de Género , Trastornos Relacionados con Sustancias , Infecciones por VIH/epidemiología , Homosexualidad Masculina , Humanos , Análisis de Clases Latentes , Masculino , Trastornos Relacionados con Sustancias/epidemiología , Carga ViralRESUMEN
One hundred forty-seven men who have sex with men completed time-line follow-back interviews about the venues where they met their male partners (n = 1180 sexual events with first-time partners, <30 days). We ran multivariate models to determine the association between venues and condomless anal sex (CAS). After adjusting for known correlates of CAS, partners met at sex parties presented significantly greater odds for CAS compared with meeting a partner at a gay bar/club (adjusted odds ratio = 0.44), online (adjusted odds ratio = 0.42), bathhouse (adjusted odds ratio = 0.35), or via "other" venues (adjusted odds ratio = 0.35), all P < 0.01. These findings highlight the need to develop innovative HIV/sexually transmitted infection prevention initiatives for men who attend sex parties.