Association of Perceived Social Support with Viral Suppression Among Young Adults with Perinatally-Acquired HIV in the US-based Pediatric HIV/AIDS Cohort Study (PHACS)

Katherine Tassiopoulos,1 Yanling Huo,2 Deborah Kacanek,2 Kathleen Malee,3 Sharon Nichols,4 Claude A Mellins,5 Stephan Kohlhoff,6 Russell B Van Dyke7 On behalf of the Pediatric HIV/AIDS Cohort Study1Department of Epidemiology, Harvard T.H. Chan School of Public Health, Boston, MA, USA; 2Center for Biostatistics in AIDS Research, Harvard T.H. Chan School of Public Health, Boston, MA, USA; 3Departments of Infectious Diseases and Psychiatry and Behavioral Science, Northwestern University Feinberg School of Medicine, Chicago, IL, USA; 4Department of Neurosciences, University of California San Diego, La Jolla, CA, USA; 5Psychiatry and Sociomedical Sciences, Columbia University, New York, NY, USA; 6Division of Pediatric Infectious Diseases, SUNY Downstate Medical Center, Brooklyn, NY, USA; 7Pediatric Infectious Diseases, Tulane University School of Medicine, New Orleans, LA, USACorrespondence: Katherine Tassiopoulos, Senior Research Scientist, Department of Epidemiology, Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Kresge 817B, Boston, MA, 02115, USA, Tel +1 617 432 3265, Fax +1 617 566 7805, Email ktassiop@hsph.harvard.eduPurpose: To determine the relationship between perceived social support and viral suppression among young adults with perinatally-acquired HIV (YAPHIV).Participants and Methods: We included YAPHIV ≥ 18 years enrolled in AMP Up, a study of PHACS (Pediatric HIV/AIDS Cohort Study), with social support evaluations and ≥ 1 HIV viral load (VL) measured over the next year. We evaluated emotional, instrumental, and friendship social support via the NIH Toolbox. We defined social support, measured at study entry and year 3 (if available), as low (T-score ≤ 40), average (41– 59) or high (≥ 60). We defined viral suppression as all VL < 50 copies/mL over the one year after social support measures. We fit multivariable Poisson regression models using generalized estimating equations, and evaluated transit