The potential for selection and misclassification bias when sampling men who have sex with men (MSM) in gay bars Karyn Heavner, PhD 1, 2, James Tesoriero,

Slides:



Advertisements
Similar presentations
Risk Factors for Early Syphilis Among Men Who Have Sex With Men Seen in an STD Clinic – San Francisco, STD Prevention Conference: March 10, 2004.
Advertisements

Impact of Age and Race on New HIV Infections among Men who have Sex with Men in Los Angeles County Shoshanna Nakelsky, MPH Division of HIV and.
“Barebacking” in a Diverse Sample of MSM _____________ Gordon Mansergh, Gary Marks, Grant Colfax, Rob Guzman, Melissa Rader, Susan Buchbinder STD Prevention.
C. Andres Bedoya, PhD Behavioral Medicine Service Department of Psychiatry Massachusetts General Hospital / Harvard Medical School Factors related to high-risk.
Variation in Sexual “Marketplace” By Race/Ethnicity, Age and Sexual Orientation among Early Syphilis Case: Implication for Prevention Strategies Getahun.
Substance Use, Substance Choice, and Unprotected Sex among Young Asian/Pacific Islander (API) Men Who Have Sex with Men (MSM) Kyung-Hee Choi, 1 Don Operario,
HIV INTERVENTION FOR PROVIDERS (HIP) Principal Investigators:  Carol Dawson Rose, RN, Ph.D. and Grant Colfax, MD. Co-Investigators:  Cynthia Gomez, Ph.D.,
High Sexual Risk But Low HIV Prevalence Among Asian And Pacific Islander (API) Men Who Have Sex With Men (MSM) Kyung-Hee Choi Center for AIDS Prevention.
Substance Use among API MSM Don Operario Center for AIDS Prevention Studies (CAPS) University of California, San Francisco, San Francisco UC SF University.
Sexual Risk Behaviors of Self- identified and Behaviorally Bisexual HIV+ Men. By: Matt G. Mutchler, PhD; Miguel Chion, MD, MPH; Nancy Wongvipat, MPH; Lee.
Commercial Sex Venues: A Closer Look At Their Impact on the Syphilis Epidemics Among Men Who Have Sex With Men in Los Angeles Getahun Aynalem, MD, MPH,
The Internet: An Emerging Venue for Syphilis Epidemics Among Men Who Have Sex with Men in Los Angeles LAC - DHS Getahun Aynalem, MD, MPH, Kellie Hawkins,
1 Predictors of Retention in Care Among HIV+ and At-Risk Youth Sion Kim Harris, PhD Cathryn L. Samples, MD, MPH Peter Keenan, RN, C-PNP Durrell J. Fox,
Stuart Michaels, Academic Research Centers, NORC Sexual Behavior & Sexual Identity among Men who have Sex with Men (MSM)
Poverty and HIV Infection: NHBS National* and San Diego Findings Vanessa Miguelino-Keasling, MPH National HIV Behavioral Surveillance System.
Anticipated Risk Compensation with Pre-Exposure Prophylaxis Use among North American Men who have Sex with Men Using an Internet Social Network D Krakower,
Christine Khosropour, MPH Rollins School of Public Health Emory University Atlanta, GA July 18, 2011 IAS 2011 Rome, Italy.
MEN WHO HAVE SEX WITH MEN (MSM) AND RISK FACTORS ASSOCIATED WITH CONDOM USE AT LAST SEXUAL INTERCOURSE WITH A MAN AND A WOMAN IN SENEGAL ELIHoS Project.
Preventing HIV/AIDS transmission on Historically Black Colleges and Universities (HBCUs) Peter Thomas, PhD, MPH Division of HIV/AIDS Prevention, Division.
Housing Status and HIV Risk Behaviors Among Homeless and Housed Persons with HIV in the United States The findings and conclusions in this presentation.
1 Machismo as a determinant for HIV/STD risk behavior among Latino MSM Jacqueline L. Sears, MPH.
Background  Substance abusers are at risk for HIV and other STIs.  Anal intercourse (AI) is riskier than vaginal intercourse.  Studies of AI have focused.
Results from the STEAM Survey Elizabeth Barash, MPH.
What are you into? The role of social networking platforms in HIV risk behavior Darren Whitfield, MSW, Doctoral Student University of Denver, Graduate.
Non-Medical Staff Knowledge, Beliefs and Practices about HIV and Hepatitis for Injection Drug Users Rowe, KA 1, Tesoriero, JM 1, Heavner, KK 1, Rothman,
Associations Between Recent Gender- Based Violence and Pregnancy, Sexually Transmitted Infections, Condom Use Practices, and Negotiation of Sexual Practices.
Trends in HIV-Related Risk Behaviors Among U.S. Adolescents: Is Progress Stalling? Laura Kann, Ph.D. Lexi Balaji, Ph.D. Richard Lowry, M.D. Nancy Brener,
Condom Use and Anal Intercourse in Heterosexual Men and Women Kimberly R. McBride, Ph.D. 1,2,3 Erick Janssen, Ph.D. 2,4 1 Department of Pediatrics, Section.
Life in the FASTLANE: Reducing high-risk sexual behaviors among HIV-, heterosexual meth users Thomas L. Patterson, PhD; Brent Mausbach, PhD; Shirley Semple,
Correlates of Never Using Condoms for Oral Sex Sara K. Head, MPH 1 Richard A. Crosby, PhD 1 Gregory Moore, MD 1 Adewale Troutman, MD 2 1 University of.
Trends in HIV-Related Risk Behaviors Among U.S. Adolescents: 15 Years of Progress Laura Kann, Ph.D. Richard Lowry, M.D. Nancy Brener, Ph.D. Danice Eaton,
Why don’t Key Populations Access HIV
Seeking HIV-testing Only: Missed Opportunity for HIV Prevention?
HIV Prevention By Theo Hodge, Jr. MD for
1University of Kentucky, Lexington, Kentucky
Building an ecological-developmental model for adolescent HIV prevention: Program participation and family connectedness Jennifer Sarah Tiffany, PhD,
Pengjun Lu, PhD, MPH;1 Kathy Byrd, MD, MPH;2
Alex Parr & Carrie Llewellyn Brighton and Sussex Medical School, UK
HIV Burden Among Gay and Bisexual Men in the U.S.
Psychosocial and behavioral predictors of partner notification for STD and HIV exposure among MSM Matthew J. Mimiaga, ScD, MPH, Sari L. Reisner, MA,
Developing Measures of Pathways That May Link Large-scale Social Structural Factors with HIV Epidemiology Enrique R. Pouget, Milagros Sandoval, Yolanda.
**Funded in part by NIMH RO3MH and NCRR K12RR017707
Los Angeles County Department Of Public Health
Hatch-Maillette, M. 1, Calsyn, D. A1,2, Doyle, S. 1, Woods, A
Physical assault partially mediates the impact of transgender status on depression and poly- substance use among Black transgender women in the United.
When Straight Men have Gay Sex
Conclusions & Implications
Amanda D. Castel, MD, MPH Assistant Research Professor
American Public Health Association Annual Meeting
Table 1: NHBS HET3 Participant Characteristics
Believed discrimination occurred because of their:
HIV prevalence and sexual behavioral roles among Men who have sex with men (MSM) in Nigeria T. Badru , O. Adedokun, E. Oladele , O. Adebayo , H. Khamofu.
A study of high risk African American women, 15 to 21 years of age
Rowe, KA1, Tesoriero, JM1, Davis, SJ1, Heavner, KK1, Rothman, J2,
National STD Prevention Conference
STDs among Sexually Active Female College Students: Does Sexual Orientation or Gender of Sex Partner(s) Make a Difference? Lisa L. Lindley, DrPH, MPH,
STIs in a multi-site sample of high-risk, substance-using MSM:
FACTORS ASSOCIATED WITH RECEIPT OF HEPATITIS B VACCINE AMONG HIGH RISK ADULTS NATIONAL HEALTH INTERVIEW SURVEY, 2000 Nidhi Jain MD MPH The topic of my.
Adolescents in Love: Mutuality of commitment in adolescent couples
Hepatitis B Vaccination Assessment Adults Aged Years National Health Interview Survey, 2000 Gary L. Euler, DrPH1, Hussain Yusuf, MBBS2, Shannon.
The Relationship between Recent Alcohol Use and Sexual Behaviors/STDs: Gender Differences among STD Clinic Patients Heidi E. Hutton PhD, Mary E. McCaul.
Among 3647 MSM not using SMS prior to PS interview. Bold = p<0.05.
Trends in HIV incidence and sexual behaviour among a cohort of men who have sex with men (MSM) in Montreal: Robert S. Remis, Michel Alary, Joanne.
Epidemiology of exercise and physical activity
VACS Scientific Meeting Houston, TX February 2004
Finding Sex Partners On-Line: What’s the Risk for STI
Florida International University
JS Leichliter,1 FR Bloom,1 SD Rhodes2
The Effectiveness of Respondent-Driven Sampling to Recruit Minority and Hard-to-Reach MSM for STD/HIV Behavioral Surveillance.
Kyle T. Bernstein, Katherine Ahrens, Susan S. Philip, Jeffrey D
Presentation transcript:

The potential for selection and misclassification bias when sampling men who have sex with men (MSM) in gay bars Karyn Heavner, PhD 1, 2, James Tesoriero, PhD 2, Haven Battles, PhD 2, Benjamin Shaw, PhD 2, Kristi McClamroch, PhD 1, and Guthrie Birkhead, MD, MPH 1, 2, 3 1. University at Albany, School of Public Health 2. New York State Department of Health, AIDS Institute 3. New York State Department of Health, Center for Community Health

Background The majority of cases of HIV among MSM have been attributed to unprotected anal intercourse (UAI). Characteristics associated with engagement in UAI in the literature: Younger age; Less formal education; Being HIV positive; Self-identified gay sexual orientation; Having multiple sexual partners; Having primary partners; and Using alcohol or illicit non-injection or injection drugs. Race/ethnicity is not consistently associated with engagement in UAI in the literature. Most studies of MSM’s HIV risk behavior enroll participants using venue-based sampling.

Variation Between Gay Bars Most venue-based studies did not describe the bars where participants were enrolled. HIV research and prevention activities often target gay bar patrons. Differences between types of gay bars were rarely studied quantitatively. Gay bars are typically analyzed as homogeneous venues. Types of gay bars Cruising bars - patronized by MSM looking for sexual partners. Hustler bars - frequented by commercial sex workers. Mixed bars - patronized by both gay and heterosexual clients. Traditional gay bars – frequented by MSM who are not looking for sexual partners.

Objectives This study describes: Variation between gay bars and The impact of enrollment in different bars on the sociodemographic characteristics of the sample and on the estimated prevalence of UAI among MSM.

Methods

Data Sources Enrollment Survey administration Upstate NY HIV Testing Survey (HITS): Gay bars in Rochester and Buffalo (2000). HIV Testing, Attitudes, and Practices Survey (H-TAPS) (2001-2004): Rochester and Buffalo : Gay bars. Syracuse: Gay bars, a non-alcoholic café, 2 highway rest areas. Albany: Gay bars, a bathhouse, a community center. Survey administration Statement of informed consent. 30 minute anonymous face-to-face interview. Incentive: $20 money order. Overall H-TAPS response rate: 73.2%. Survey of gay bar interviewers. Supported by a grant from the CDC.

Eligibility Criteria HITS/H-TAPS eligibility criteria: This analysis: 18+ years old; Resided in New York State; Capable of giving informed consent; and Spoke English. This analysis: Males in the HITS/H-TAPS MSM sample; Interviewed in a site that could be classified as a sex or non-sex venue; Had sex with a man in the past year or self-identified as gay or bisexual; and Completed questions used to assess condom use during anal intercourse with male partners.

Types of gay bars Classification of gay bars. Interviewers asked about: Typical patrons of the bars and HIV prevention activities within the bars. Bars Participants n % Traditional gay bars 12 42.9% 235 48.2% Mixed bars 8 28.6% 142 29.1% Cruising/Hustler bars 7 25.0% 92 18.9% Drag bar* 1 3.6% 19 3.9% Total 28 488 * Excluded due to the small number of participants.

Variables UAI with male partners in the 12 past months. Estimated prevalence of UAI = # MSM who had anal intercourse without a condom # MSM who answered questions about condom use during anal intercourse* Covariates: Age; Race/ethnicity; Self-reported HIV status; and Self-identified sexual orientation. * Includes MSM who had anal intercourse without a condom, MSM who always used condoms during anal intercourse and MSM who did not have anal intercourse with male partners.

Data analysis Univariable analysis Bivariable analysis Relationship between type of bar, sociodemographic and other personal characteristics. Relationship between UAI and sociodemographic and other personal characteristics. Relationship between UAI and type of bar. Multivariable regression analysis Poisson regression. All models include type of gay bar, age, race/ethnicity, self-reported HIV status and self-identified sexual orientation.

Results

Sample Characteristics (n=469) % Age 18-30 31-40 41+ 193 180 96 41.2% 38.4% 20.5% Race/ethnicity Hispanic Non-Hispanic black Non-Hispanic other race Non-Hispanic white 47 125 69 209 10.4% 27.8% 15.3% 46.4% Education <= high school/GED Some college >= college degree 140 185 138 30.2% 40.0% 29.8% Self-reported HIV status HIV positive HIV negative Never tested 57 322 84 12.3% 69.5% 18.1% Self-reported sexual orientation Gay Bisexual Heterosexual Other/Not sure 346 81 17 19 74.7% 17.5% 3.7% 4.1%

Cruising/ Hustler Bars Difference Between MSM Interviewed in Different Types of Gay Bars (1) Traditional Gay Bars Mixed Bars Cruising/ Hustler Bars χ² p-value n % Age 18-30 91 38.7% 73 51.4% 29 31.5% 0.0022 31-40 88 37.5% 43 30.3% 49 53.3% 41+ 56 23.8% 26 18.3% 14 15.2% Race/ ethnicity Hispanic 19 8.3% 20 14.8% 8 9.3% <0.0001 Non-Hisp. black 79 34.5% 28 20.7% 18 20.9% Non-Hisp. white 7.9% 19.3% 25 29.1% Non-Hisp. other 113 49.3% 61 45.2% 35 40.7% Education <= HS/GED 72 30.6% 48 34.3% 22.7% 0.2107 Some college 89 37.9% 59 42.1% 37 >= degree 74 33 23.6% 31 35.2%

Cruising/ Hustler Bars Difference Between MSM Interviewed in Different Types of Gay Bars (2) Traditional Gay Bars Mixed Bars Cruising/ Hustler Bars χ² p-value n % HIV status HIV + 30 12.8% 9 6.5% 18 19.8% 0.0034 HIV- 158 67.8% 98 70.5% 66 72.5% Never tested 45 19.3% 32 23.0% 7 7.7% Sexual orientation Gay 173 75.2% 103 73.1% 70 76.1% 0.0182 Bisexual 31 13.5% 22.0% 19 20.6% Other 26 11.3% 5.0 % 3 3.3%

Variation in the Prevalence of UAI in Different Types of Gay Bars UAI (95% CI) Receptive UAI (95% CI) Insertive UAI (95% CI) Traditional gay bar 107/208 = 51.4% (44.6%, 58.3%) 72/194 = 37.1% (30.2%, 44.0%) 93/235 = 39.6% (33.3%, 45.9%) Mixed bar 86/141 = 61.0% (52.8%, 69.1%) 67/138 = 48.6% (40.1%, 57.0%) 73/141 = 51.8% (43.4%, 60.1%) Cruising/ hustler bar 61/85 = 71.8% (62.0%, 81.5%) 45/79 = 57.0% (45.8%, 68.1%) 49/92 = 53.3% (42.9%, 63.6%)

Prevalence of UAI in Different Gay Bars

Prevention Activities in the Gay Bars Estimated Prevalence of UAI (p-value) n % HIV testing Yes No 10 18 35.7% 64.3% 69.1% 54.9% (0.0063) HIV prevention or safer sex posters 15 13 53.6% 46.4% 66.1% 51.5% (0.0017) HIV prevention or safer sex brochures 52.9% 69.4% (0.0007) Outreach 26 2 92.9% 7.1 % 58.4 % 66.7% (0.4867) Distributed condoms 25 3 89.3 % 10.7 % 61.4 % 44.1% (0.0078)

Variation in the Prevalence of UAI Estimated Prevalence of UAI (95% CI) Any UAI Receptive UAI Insertive UAI Age 18-30 31-40 41+ 63% (56%, 70%) 58% (50%, 65%) 50% (39%, 61%) 46% (39%, 54%) 46% (38%, 53%) 39% (28%, 51%) 52% (45%, 58%) 45% (37%, 52%) 36% (27%, 46%) Race/ ethnicity Hispanic Non-Hisp. black Non-Hisp. other Non-Hisp. White 65% (51%, 80%) 47% (38%, 57%) 61% (49%, 73%) 62% (55%, 69%) 48% (32%, 63%) 32% (23%, 41%) 45% (32%, 58%) 51% (44%, 58%) 55% (41%, 70%) 35% (27%, 44%) 51% (39%, 63%) 47% (40%, 53%) HIV status HIV positive HIV negative Unknown 50% (36%, 64%) 62% (57%, 68%) 47% (35%, 58%) 44% (29%, 58%) 46% (41%, 52%) 38% (27%, 50%) 30% (18%, 42%) 52% (46%, 57%) 35% (24%, 45%) Sexual orientation Gay Bisexual Other 60% (55%, 66%) 59% (47%, 70%) 50% (32%, 68%) 50% (44%, 56%) 34% (22%, 45%) 21% (5%, 38%) 46% (41%, 51%) 49% (38%, 61%) 44% (27%, 61%)

Multivariable Poisson Regression Analysis Adjusted PRR (95% CI) Any UAI (n=387) Receptive UAI (n=368) Insertive UAI (n=420) Type of gay bar Cruising/hustler bar Mixed bar Traditional gay bar 1.3 (0.9, 1.9) 1.1 (0.8, 1.5) 1.0 1.5 (1.0, 2.3) 1.3 (0.9, 1.8) 1.2 (0.8, 1.8) 1.2 (0.9, 1.7) Age (years) 18-30 31-40 41 or older 1.4 (0.9, 2.1) 1.4 (0.9, 2.3) 1.2 (0.8, 2.0) 1.5 (1.0, 2.4) 1.2 (0.8, 1.9) Race/ ethnicity Hispanic Black Mixed/other White 1.0 (0.6, 1.5) 0.7 (0.5, 1.1) 0.9 (0.6, 1.3) 0.9 (0.5, 1.5) 0.7 (0.4, 1.0) 0.8 (0.5, 1.3) 1.1 (0.7, 1.7) HIV status HIV positive Unknown HIV negative 0.9 (0.6, 1.4) 1.0) 1.1 (0.6, 1.8) 0.7 (0.4, 1.2) 0.6 (0.4, 0.9) Sexual orientation Gay Bisexual or other 1.0 (0.7, 1.4 1.1 (0.7, 1.5)

Discussion

Major findings High prevalence of UAI more than 20 years after the start of the HIV epidemic. Despite the availability of HIV prevention messages. Variation between types of gay bars. Variation between bars of the same type. Contextual information about bars may help explain variation in estimates of the prevalence of UAI. Need for consistency in reporting enrollment venue and personal characteristics of samples of MSM.

Strengths and Limitations First study to quantify variation between MSM in different types of gay bars. Relatively high response rate. Study protocol minimized potential for misclassifying risky sexual behavior. Limitations Assumes that men’s attendance at the venue where they were interviewed is typical of their venue attendance . Cannot establish temporality. Small numbers of participants from some venues limits generalizability.

Significance Importance of collecting contextual information. Minimize misclassification and selection bias. Guide prevention efforts. Enrolling MSM in very few bars or one type of bar does not produce a representative sample.

University of Alberta, School of Public Health Contact Information Karyn Heavner Postdoctoral Fellow University of Alberta, School of Public Health 780.492.1389 heavner@ualberta.ca karynkh@aol.com