Susie Hoffman1,2, Adina Zhang3, Nadia Nguyen1, Rachel Tsong3, Ivy S Chen3, Ying Wei3, Tom Lutalo4, Fred Nalugoda4, Caitlin E Kennedy5, Mary Kate Grabowski6,7, John S Santelli8. 1. HIV Center for Clinical and Behavioral Studies at the New York State Psychiatric Institute and Columbia University Irving Medical Center, New York, NY. 2. Department of Epidemiology Columbia University Mailman School of Public Health, New York, NY. 3. Department of Biostatistics, Columbia University Mailman School of Public Health, New York, NY. 4. Rakai Health Sciences Program, Kalisizo, Uganda. 5. Department of International Health, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD. 6. Department of Pathology, Johns Hopkins School of Medicine, Baltimore, MD. 7. Department of Epidemiology, Johns Hopkins Bloomberg School of Public Health, Baltimore, MD; and. 8. Heilbrunn Department of Population and Family Health, Columbia University Mailman School of Public Health, New York, NY.
Abstract
BACKGROUND: Sexual partner characteristics are important determinants of HIV acquisition, but little is known about partner types of young men in sub-Saharan Africa. METHODS: Sexually active men aged 15-24 years from 5 rounds (2005-2013) of the Rakai Community Cohort Study in Uganda reported characteristics of up to 4 past-year female partners. Partner types were identified using latent class analysis. HIV incidence rates (IRs) were calculated by partner-type combinations, and individual-level risk adjusted IR ratios (aIRRs) relative to the lowest incidence type were estimated using the Poisson regression with generalized estimating equations. RESULTS: Young men (N = 1771) reported 4539 past-year female sexual partners. Three partner types were identified: type A: noncohabiting, student, medium duration partnerships; type B: cohabiting, nonstudent, longer duration partnerships; and type C: noncohabiting, nonstudent shorter duration partnerships. Type C partners engaged in the most HIV-related risk behaviors. Many men (29%) had more than 1 partner type/round. IR overall was 9.8/1000 person-years [95% confidence interval (CI): 4.7 to 20.6]. IR was 4.0 (95% CI: 1.2 to 12.7) for men with type A partners alone (41% of men). Relative to them, IR for those with type B partners alone (25%) was not significantly different. Men with type C partners alone (5%) had higher risk (aIRR = 3.2; 95% CI: 1.0 to 9.9), as did men with >1 partner type, including men with both type A and type B partners (12%; aIRR = 6.3; 95% CI: 2.5 to 15.9) and men with type C and other partner types (17%; aIRR = 4.3; 95% CI: 1.7 to 10.8). CONCLUSIONS: Partner-type combination was strongly associated with HIV incidence; type C partners and having more than 1 partner type were the riskiest patterns.
BACKGROUND: Sexual partner characteristics are important determinants of HIV acquisition, but little is known about partner types of young men in sub-Saharan Africa. METHODS: Sexually active men aged 15-24 years from 5 rounds (2005-2013) of the Rakai Community Cohort Study in Uganda reported characteristics of up to 4 past-year female partners. Partner types were identified using latent class analysis. HIV incidence rates (IRs) were calculated by partner-type combinations, and individual-level risk adjusted IR ratios (aIRRs) relative to the lowest incidence type were estimated using the Poisson regression with generalized estimating equations. RESULTS: Young men (N = 1771) reported 4539 past-year female sexual partners. Three partner types were identified: type A: noncohabiting, student, medium duration partnerships; type B: cohabiting, nonstudent, longer duration partnerships; and type C: noncohabiting, nonstudent shorter duration partnerships. Type C partners engaged in the most HIV-related risk behaviors. Many men (29%) had more than 1 partner type/round. IR overall was 9.8/1000 person-years [95% confidence interval (CI): 4.7 to 20.6]. IR was 4.0 (95% CI: 1.2 to 12.7) for men with type A partners alone (41% of men). Relative to them, IR for those with type B partners alone (25%) was not significantly different. Men with type C partners alone (5%) had higher risk (aIRR = 3.2; 95% CI: 1.0 to 9.9), as did men with >1 partner type, including men with both type A and type B partners (12%; aIRR = 6.3; 95% CI: 2.5 to 15.9) and men with type C and other partner types (17%; aIRR = 4.3; 95% CI: 1.7 to 10.8). CONCLUSIONS: Partner-type combination was strongly associated with HIV incidence; type C partners and having more than 1 partner type were the riskiest patterns.
Authors: Sanyukta Mathur; Ying Wei; Xiaobo Zhong; Xiaoyu Song; Fred Nalugoda; Tom Lutalo; Maria Wawer; Ron Gray; David Serwadda; John S Santelli Journal: J Acquir Immune Defic Syndr Date: 2015-05-01 Impact factor: 3.731
Authors: John S Santelli; Zoe R Edelstein; Sanyukta Mathur; Ying Wei; Wenfei Zhang; Mark G Orr; Jenny A Higgins; Fred Nalugoda; Ron H Gray; Maria J Wawer; David M Serwadda Journal: J Acquir Immune Defic Syndr Date: 2013-07-01 Impact factor: 3.731
Authors: Simon Gregson; Constance A Nyamukapa; Geoffrey P Garnett; Peter R Mason; Tom Zhuwau; Michel Caraël; Stephen K Chandiwana; Roy M Anderson Journal: Lancet Date: 2002-06-01 Impact factor: 79.321
Authors: Sanyukta Mathur; Jenny A Higgins; Nityanjali Thummalachetty; Mariko Rasmussen; Laura Kelley; Neema Nakyanjo; Fred Nalugoda; John S Santelli Journal: Cult Health Sex Date: 2015-11-05
Authors: John S Santelli; Ivy Chen; Fred Makumbi; Ying Wei; Fred Nalugoda; Tom Lutalo; Esther Spindler; Stephanie A Grilo; Andrea Deisher; Katherine Grabowski; Susie Hoffman; Joseph Kagaayi; Larry W Chang; Ronald Gray; Maria Wawer; David Serwadda Journal: AIDS Date: 2021-09-01 Impact factor: 4.177