1. Gay and Bisexual Men’s Health Survey (Community Assessment) 2010 Collaborators: ASA, CARE, UT Grad, and the Q

2. Sample Demographics - Age N=137

3. Sample Demographics - Race N=133

4. Sample Demographics - Ethnicity N=128

5. Sample Demographics – Annual Income N=136

6. Sample Demographics - Education N=136

7. Basic Findings Sexual Risk Anal sex partners5 or less – 69%6 to 10 – 11%11 to 20 – 10%21 or more – 9% Meeting placesOnline – 51%Friends – 46%Clubs – 40%Organizations- 17% PreferencesRelationships – 74%Friends/Ben – 33%Hookups – 12%No Pref. – 11% Concern over HIVVery – 60%Somewhat – 30%Unconcerned – 7% Condom useAlways – 60%Sometimes – 33%Never – 7% Anonymous partners Yes – 45%No – 55% Motivations to use condoms Fear – 77%Availability – 27%Partner’s des. – 17%Sensation – 14% Planning for safer sex Always – 72%Sometimes – 20%Never – 8% Had sex with HIV- infected person Yes – 28%No – 72%77% of yes used condom Ever been tested for HIV Yes – 94%No – 6% Motivations to get tested Free Services – 61%Compassion – 54%Anonymity – 44%Club testing – 23%

8. Basic Findings Sexual Risk (continued) Talk about HIV status with partner? Yes – 82%No – 20% Comfort talking about condom-use during sex? Yes – 96%No – 4% Use of drugs during sex Alcohol – 51% YesPot – 24% YesPoppers – 17% Yes (video head cleaner) Cocaine – 7% Yes

9. Influences on Sexual Risk Behavior: What theory said we should expect Interpersonal Skills Cultural Differences Self-esteem Substance use 1. Good 2. Bad 1. No-use 2. Use 1. Good 2. Bad 1. No Difference 2. Difference HIV Risk Factors (e.g. frequency of condom use, number of anonymous partners, having ever been tested, comfort negotiating safer sex to partners, etc.) 1. Low-risk 2. High-risk

10. Findings: Sexual Behavior In Austin, interpersonal skills, substance abuse and self-esteem to not cause risky behavior. - Younger (<25) have fewer anonymous partners Cultural differences based on race do not cause risky behavior. Cultural differences based on class (income) do cause risky behavior. - Having ever been tested Note: We acknowledge that there is some margin of error in our results, because our sample is only close to a probability sample.

11. Influences on Motivations to Join Gay Community: What theory said we should expect Socioeconomic Status Geographic Location, “gay ghettos” Attitudes toward Femininity Cultural Differences 1. High 2. Low 1. No Difference 2. Difference 1. Positive 2. Negative 1. Close 2. Distant Desire to Join Gay Community 1. Desire to join 2. No desire to join

12. Findings: Motivations to Join Gay Community In Austin, cultural differences, attitudes toward male femininity and geographic location do not affect motivations to join. Socioeconomic status does affect motivations to join. - Importance of gay identity - Number of straight friends

13. Connections Between Community and Sexual Behavior Attitudes toward gay community Whether one joins the gay community 1. Positive 2. Negative 1. Joins 2. Doesn’t Join Sexual Risk Behavior 1. Low Risk 2. High Risk The only risk behavior that community involvement influences is number of anonymous partners. 42% to 55% do not see solidarity in gay community 55% feel excluded from the gay community

14. Which levers can we pull to lower incidence of HIV among gay and bi men? Low income MSM  Testing campaign - Incentives (gift cards, food vouchers, etc.) - Transportation - Awareness Men who don’t want to join gay community  Make community more attractive - Raise awareness to increase inclusivity & solidarity though gay community leaders - For those still not interested, go where they are meeting their anonymous partners

15. Questions??