In this study, we sought to assess the individual, syndemic, and interactive associations between individual-level factors and retention in care. The sample was derived from the Miami Adult Studies on human immunodeficiency virus (HIV)/ acquired immune deficiency syndrome (AIDS) cohort from 2009 to 2014. The variables were entered into a multiple logistic regression with retention as the outcome. Backward regression, adjusting for all main effects, was conducted to determine which two-way interactions were associated with retention. Multivariable logistic regression was used to test which number of factors were associated with retention. Non-Hispanic Black race/ethnicity was associated with improved retention (odds ratio [OR] = 2.44, 95% confidence interval [CI]: 1.06–5.75, p ≤ 0.05) when compared to Non-Hispanic White persons. Black-Hispanic and Other racial/ethnic identities were associated with increased retention (OR = 4.84, 95%CI: 1.16–25.79, p ≤ 0.05 and OR = 7.24, 95%CI: 1.54–54.05, p ≤ 0.05, respectively) when compared to Non-Hispanic White persons. The interaction between depressive symptoms and Alcohol Use Disorder Identification Test (AUDIT, a test that assesses alcohol use disorder) score was significantly and negatively associated with retention in HIV care (OR = 0.14, 95%CI: 0.01–1.11, p ≤ 0.10). The interaction between age and male gender was also negatively associated with retention (OR = 0.95, 95%CI: 0.88–1.01, p ≤ 0.10), and the interaction between male gender and depression was positively associated with retention (OR = 7.17, 95%CI: 0.84–98.49, p ≤ 0.10). In conclusion, multiple races/ethnicities, specifically Non-Hispanic Black, Black-Hispanic, and Other racial/ethnic identification, were associated with increased odds of retention. Multiple interactions, specifically depressive symptoms * alcohol use disorder and male gender * age, were negatively associated with retention. The male gender * depression interaction was positively associated with retention in HIV care.
Conclusion: Special issue on genetic and alcohol use disorder research with diverse racial/ethnic groups: Key findings and potential next steps