National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention

1. Foreign location of birth and time since immigration are associated with HIV status among Latino MSM in the United States Alexandra M. Oster, MD, Kate Russell, MD, MPH, Ryan E. Wiegand, MS,Eduardo Valverde, MPH, David W. Forrest, PhD, Melissa Cribbin, MPH, Binh C. Le, MD, Gabriela Paz-Bailey, MD, PhD, MSc, for the NHBS Study Group Division of HIV/AIDS Prevention Centers for Disease Control and Prevention Atlanta, GA, United States AIDS 2012 Abstract MOAC0103 July 23, 2012 The findings and conclusions in this presentation are those of the authors and do not necessarily represent the views of the Centers for Disease Control and Prevention. National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention Division of HIV/AIDS Prevention

2. Background: Latinos and HIV In the United States, Latinos are disproportionately affected by HIV Rate of new infections among Latino men is two and a half times that of white men In 2009, Latino men who have sex with men (MSM) accounted for 81% of new infections among Latino men *PrejeanPLoS ONE 2011

3. Background: Latino MSM Location of birth: U.S. vs. foreign-born Different levels of HIV knowledge, risk behavior, and use of prevention services Foreign-born Latinos are a diverse group who have different cultures and levels of acculturation Among foreign-born populations, health status varies by Location of birth Time since arrival

4. Objectives Describe prevalence of HIV infection among Latino MSM in the United States Assess associations of location of birth and time since arrival with prevalent HIV infection

5. U.S. National HIV Behavioral Surveillance System (NHBS) • Implemented in 2003 • NHBS conducted in annual rotating cycles among: • Men who have sex with men (MSM) • Injection drug users • Heterosexuals at increased risk of HIV infection

6. NHBS-MSM, 2008: 21 metropolitan statistical areas (MSAs) Seattle Boston Detroit Nassau New York City Newark Chicago Denver Philadelphia San Francisco Baltimore Washington DC St. Louis Los Angeles San Diego Atlanta Dallas Houston New Orleans Miami San Juan

7. NHBS-MSM data collection • Venue-based, time-space sampling • Identification of venues • Random selection of venues • Recruitment of participants • Standardized in-person interview (anonymous) • HIV testing (anonymous) • All participants offered HIV test

8. Eligibility and analysis criteria • Eligibility criteria • ≥ 18 years of age • Resident of metropolitan statistical area (MSA) • Able to complete interview in English or Spanish • Male sex at birth and identifies as male • Inclusion criteria for this analysis • Male sex partner during the past 12 months • Reported being Hispanic or Latino • 20 MSAs in continental United States (excluded San Juan, Puerto Rico)

9. Analytic methods • Described HIV prevalence of Latino MSM by • Sociodemographic characteristics (age, education, income, sexual identity) • Migration status • U.S. -born • Arrived ≥5y ago • Arrived <5y ago • Region of birth • United States (excluding Puerto Rico) • Puerto Rico • Mexico • Caribbean • Central America • South America

10. Multivariable analysis • Outcome variable: prevalent HIV infection • Predictor variable: • Model 1: • Migration status: U.S.-born, arrived ≥5y ago, arrived <5y ago • Model 2: • Region of birth: United States, Puerto Rico, Mexico, Caribbean, South America, Central America • Both models adjusted for age, education, income, sexual identity • GEE-based Poisson model • Accounted for clustering at MSA level

11. Sample characteristics

12. Race/ethnicity, NHBS-MSM, 2008 (N=8,153)

13. Migration status, Latino MSM (N=1,734)

14. Region of birth, Latino MSM (N=1,734)

15. HIV prevalence among Latino MSM

16. HIV prevalence, Latino MSM (N=1,734)

17. HIV prevalence by age, Latino MSM (N=1,734) p<0.0001

18. HIV prevalence by education, Latino MSM (N=1,734) p=0.3

19. HIV prevalence by income (in USD), Latino MSM (N=1,734) p=0.006

20. HIV prevalence by sexual identity, Latino MSM (N=1,734) p=0.003

21. HIV prevalence by migration status, Latino MSM (N=1,734) p=0.0001

22. HIV prevalence by region of birth, Latino MSM (N=1,734) p=0.007

23. Multivariable analysis

24. Model 1: Associations with prevalent HIV infection among Latino MSM, NHBS-MSM, 2008 *Adjusted for all variables listed and education.

25. Model 2: Associations with prevalent HIV infection among Latino MSM, NHBS-MSM, 2008 • In model including region of birth, region of birth was not significantly associated with prevalent HIV infection • Other associations were similar to those in Model 1

26. Summary • Among Latino MSM, HIV infection was associated with • Age • Income • Sexual identity • Migration status

27. Analysis Limitations • Not representative of all Latino MSM • Data collected in cities with high AIDS prevalence • Most of the men were recruited from bars or dance clubs • Sampling methods may result in selection bias • Data are not weighted to account for bias • We did not have data on intent to remain in the United States

28. Discussion (1) • Foreign-born men who arrived ≥5y ago and U.S.-born Latino MSM had higher HIV prevalence • Suggests many foreign-born MSM acquire HIV after arrival • Indicates presence of critical window for HIV prevention • Many Latino MSM immigrate to U.S. to escape hostile social environments • Arrival leads to increased sexual freedom and disinhibition • Targeting recent arrivals may be particularly important

29. Discussion (2) • In descriptive analysis, HIV prevalence varied substantially by region of birth • Highest among MSM born in Puerto Rico, South America, and Caribbean • Differences did not persist in multivariable analysis • May be due to confounding by other characteristics, such as age • This information may be useful when designing prevention strategies in cities with large Latino populations

30. Discussion (3) • HIV infection also associated with low income • Our study does not explain link between low income and HIV infection • Public health officials should make special efforts to reach low-income Latino MSM with HIV prevention efforts • We should work to improve access of this population to testing and care

31. Acknowledgements NHBS Study Group: J Taussig, R Gern, T Hoyte, L Salazar; C Flynn, F Sifakis, D Isenberg, M Driscoll, E Hurwitz, N Prachand, N Benbow, S Melville, P Pannala, R Yeager, A Sayegh, J Dyer, A Novoa, M Thrun, A Al-Tayyib, R Wilmoth, E Higgins, V Griffin, E Mokotoff, M Wolverton, J Risser, H Rehman, T Bingham, E Sey, M LaLota, L Metsch, D Forrest, D Beck, G Cardenas, C Nemeth, C Watson, L Smith, W Robinson, D Gruber, C Murrill, A Neaigus, S Jenness, H Hagan, T Wendel, H Cross, B Bolden, S D’Errico, K Brady, A Kirkland, V Miguelino, A Velasco, H Raymond, M Courogen, H Thiede, R Burt; M Herbert, Y Friedberg, D Wrigley, J Fisher, P Cunningham, M Sansone, T West-Ojo, M Magnus, I Kuo Behavioral Surveillance Team, CDC NHBS Participants

32. Alexa Oster, MD Medical Epidemiologist Behavioral and Clinical Surveillance Branch AOster@cdc.gov National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention Division of HIV/AIDS Prevention