Methods: Participants were recruited from HIV clinical and community-based settings using purposive sampling. They completed surveys at baseline, 6 months, and 12 months. Measures included the WHO Alcohol, Smoking, and Substance Involvement Screening Test (ASSIST), the HIV Treatment Adherence Self-Efficacy Scale (ASES), a validated single-item visual analogue scale (VAS) of self-reported medication adherence, the HIV Symptom Distress Module (SDM), and the HIV Self-Management Scale. Linear and ordinal regression models were fit on multiply imputed datasets using chained equations, adjusting for intervention assignment, site, and sociodemographic characteristics (age, gender identity, sex assigned at birth, race, sexual orientation, education level, and annual income).
Results: The sample (N = 300) had a mean age of 48.1 years (SD = 11.7); 74.7% identified as Black/African American; 44.4% identified as women, and 6.7% identified as transgender, queer, or another gender identity; over half (51%) earned less than $10,000 annually, and 28% had less than a high school education. Results revealed that baseline cocaine use predicted lower self-reported adherence at 6 months (β = –5.03, p = .018), and methamphetamine use predicted poorer HIV self-management at 12 months (β = –2.92, p = .025). Inhalant use was associated with higher HIV symptom distress at 6 months (β = 8.33, p = .015), while hallucinogen use predicted lower adherence self-efficacy at 12 months (β = –20.26, p = .039).
Conclusions and Implications: Findings underscore the clinical significance of substance-specific effects on HIV outcomes. Cocaine, methamphetamine, inhalants, and hallucinogens were each uniquely associated with poorer adherence to health management later on. These results support the need for tailored risk assessments and integrated behavioral health interventions that address specific patterns of substance use among PLWH. Incorporating nuanced substance use profiles into HIV care may improve long-term health outcomes, particularly for underserved communities facing intersecting structural and behavioral health disparities.
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