Showing posts with label African American Men Who Have Sex with Men. Show all posts
Showing posts with label African American Men Who Have Sex with Men. Show all posts

Saturday, February 6, 2016

Sexual Networks and HIV Risk among Black Men Who Have Sex with Men in 6 U.S. Cities

Background
Sexual networks may place U.S. Black men who have sex with men (MSM) at increased HIV risk.

Methods
Self-reported egocentric sexual network data from the prior six months were collected from 1,349 community-recruited Black MSM in HPTN 061, a multi-component HIV prevention intervention feasibility study. Sexual network composition, size, and density (extent to which members are having sex with one another) were compared by self-reported HIV serostatus and age of the men. GEE models assessed network and other factors associated with having a Black sex partner, having a partner with at least two age category difference (age difference between participant and partner of at least two age group categories), and having serodiscordant/serostatus unknown unprotected anal/vaginal intercourse (SDUI) in the last six months.

Results
Over half had exclusively Black partners in the last six months, 46% had a partner of at least two age category difference, 87% had ≤5 partners. Nearly 90% had sex partners who were also part of their social networks. Among HIV-negative men, not having anonymous/exchange/ trade partners and lower density were associated with having a Black partner; larger sexual network size and having non-primary partners were associated with having a partner with at least two age category difference; and having anonymous/exchange/ trade partners was associated with SDUI. Among HIV-positive men, not having non-primary partners was associated with having a Black partner; no sexual network characteristics were associated with having a partner with at least two age category difference and SDUI.

Conclusions
Black MSM sexual networks were relatively small and often overlapped with the social networks. Sexual risk was associated with having non-primary partners and larger network size. Network interventions that engage the social networks of Black MSM, such as interventions utilizing peer influence, should be developed to address stable partnerships, number of partners, and serostatus disclosure.

Sex Partner Characteristics, Condom Use, and HIV Serostatus Disclosure of Community-Recruited Black MSM, Partner-Level Data (N = 4,449 Partners).
Characteristic, n (%)aTotalSelf-Reported HIV-Positive ParticipantSelf-Reported HIV-Negative ParticipantP-value
Partner Level
Gender of sex partners<0.01
Male3464 (78)308 (92)3156 (77)
Female800 (18)18 (5)782 (19)
Transgender172 (4)7 (2)165 (4)
Partner type<0.01
Primary partner707 (16)80 (24)627 (15)
Steady, non-primary partner/casual partner3003 (68)210 (63)2793 (68)
Exchange or trade partner/anonymous partner716 (16)42 (13)674 (16)
HIV serostatus of sex partners<0.01
Among all participants (N = 4446 partners):2284 (51)67 (20)2217 (54)
HIV-negative311 (7)142 (43)169 (4)
HIV-positive1841 (41)124 (37)1717 (42)
HIV serostatus of sex partners<0.01
Among participants age 18–30 years (N = 1659 partners):1023 (62)17 (23)1006 (63)
HIV-negative66 (4)22 (30)44 (3)
HIV-positive570 (34)35 (47)535 (34)
HIV serostatus of sex partners<0.01
Among participants age 31+ years (N = 2777 partners):1261 (45)50 (19)1211 (48)
HIV-negative245 (9)120 (46)125 (5)
HIV-positive1271 (46)89 (34)1182 (47)
Frequency of condom use with sex in past 6 months (N = 4361 partners)0.01
Never1899 (44)171 (52)1728 (43)
Sometimes740 (17)52 (16)688 (17)
Most of the time398 (9)18 (5)380 (9)
Always1324 (30)88 (27)1236 (31)
Disclosure of HIV status to sex partners by self-reported HIV-positive participants (N = 309 partners)---
No106 (34)
Yes191 (62)
Don’t know/refused to answer12 (4)
Numbers may not add up to column total due to missing data.
a P-value <0.05 for all variables compared by study city. Site-specific differences may be reflective of different recruitment strategies used by the study sites, rather than of overall differences between cities.

Full article at:   http://goo.gl/HUCW15

William M. Switzer, Editor
1Laboratory of Infectious Disease Prevention, Lindsley F. Kimball Research Institute, New York Blood Center, New York, NY, United States of America
2Division of Infectious Diseases, Department of Medicine, Columbia University Medical Center, New York, NY, United States of America
3Vaccine and Infectious Disease Division, Fred Hutchinson Cancer Research Center, Seattle, WA, United States of America
4Division of Infectious Diseases, Emory School of Medicine, Atlanta, GA, United States of America
5Bridge HIV, San Francisco Department of Public Health, San Francisco, CA, United States of America
6Department of Human Development, State University of New York at Binghamton, Binghamton, NY, United States of America
7Faculty of Humanities, University of Johannesburg, Johannesburg, South Africa
8Department of Epidemiology, School of Public Health, Division of InfectiousDiseases, David Geffen School of Medicine, University of California, Los Angeles, Los Angeles, CA, United States of America
9Fenway Community Health Center, Boston, MA, United States of America
10FHI 360, Research Triangle Park, NC, United States of America
11Division of AIDS, National Institute of Allergy and Infectious Diseases, National Institutes of Health, Bethesda, MD, United States of America
12The George Washington University School of Public Health and Health Services, Department of Epidemiology and Biostatistics, Washington, DC, United States of America
13Johns Hopkins University School of Medicine, Baltimore, MD, United States of America
14Johns Hopkins Bloomberg School of Public Health, Baltimore, MD, United States of America
Centers for Disease Control and Prevention, UNITED STATES
Competing Interests: The authors have declared that no competing interests exist.
Conceived and designed the experiments: HVT BAK CL. Performed the experiments: HVT TYL LW SB LW PG KM SG CK VE GP VC BAK CL. Analyzed the data: HVT TYL LW MC BAK CL. Wrote the paper: HVT SH BAK CL.



More about the poster: https://goo.gl/7Lrocm

Wednesday, January 20, 2016

Concordance of Demographic Characteristics, Sexual Behaviors, and Relationship Attributes among Sex Dyads of Black and White Men Who Have Sex with Men

Differences in individual behaviors have failed to explain racial disparities between Black and White men who have sex with men (MSM). However, reporting of behaviors and partner characteristics are assumed to be non-differentially reported by race. 

From 314 participants, this study used the two-sided data-where sexual partners provide information on each other and their relationship-of 127 dyads of Black and White MSM from Atlanta, GA, to assess the reliability of partner-reported demographic characteristics and the concordance of sexual behaviors and partnership attributes by race. 

We compared proportions of concordance by race using a modified kappa (K m) to assess chance-corrected agreement. The median difference in age between self- and partner-reports was 0 (0-1) years. 

Compared to self-reports, 97 % of the partners of Black participants and 96 % of the partners of White participants correctly classified their race. We observed poor agreement on pre-sexual discussion (K m = 0.18) and being in an ongoing relationship (K m = 0.13), with no differences by race (p = 0.11). 

Although not statistically significant, Black MSM dyads had lower levels of concordance for unprotected anal intercourse in the previous 12 months (68 %) compared to White dyads (90 %), with fair agreement among Black dyads (K m = 0.26). 

Measures of partner-reported age and race are likely accurate; however, certain self-reported sexual behaviors and partnership attributes may be unreliable and differentially reported by race. 

Our findings highlight the need to assess the validity of measures used to estimate HIV transmission and inform racial disparities research.

Purchase full article at:   http://goo.gl/AA7O5f

  • 1Department of Epidemiology, Rollins School of Public Health, Emory University (http://www.sph.emory.edu/), Atlanta, GA, 30322, USA. alfonso.claudio.hernandez@emory.edu.
  • 2Department of Epidemiology, Rollins School of Public Health, Emory University, Atlanta, GA, 30322, USA.
  • 3Department of Epidemiology and Biostatistics, School of Public Health, Georgia State University, Atlanta, GA, USA.





Friday, January 8, 2016

HIV Testing Patterns among Urban YMSM of Color

The heightened level of risk for HIV infection among African-American and Latino young men who have sex with men (YMSM) is driven by multi-level influences. \

Using cross-sectional data, we examined HIV testing patterns among urban YMSM of color in a high HIV sero-prevalence area (ages 16 to 21 years). Self-reported frequency of testing was high with 42% of youth reporting testing at a greater frequency than recommended guidelines. There were no differences between less frequent and high frequent testers on sexual risk behaviors. Most (80%) youth cited reassurance of HIV-negative status as a reason for testing. Further, over half of the sample reported numerous other reasons for HIV testing, which spanned individual, partner, social, and structural levels of influence. Approximately half of respondents indicated that peers, family members, and counselors influenced their motivation to get tested. Of concern, youths’ first HIV test occurred approximately two years after their first sexual experience with another male. 

These results indicate the need to consider developmental issues as well as for comprehensive, multi-level efforts to ensure that YMSM of color test at the CDC-recommended frequency, but not less than this or too frequently.

Reasons for HIV Testing by HIV Testing Frequency
Minimum Frequency HIV Testers
% (N = 43)
High Frequency HIV Testers
% (N = 37)
Total
% (N = 80)
Individual Influences
 Want to be reassured not HIV positive (n = 79)73.883.878.5
 Feel anxious or worried about being HIV positive (n = 80)48.864.956.3
 Feel at risk due to own behavior * (n = 80)37.262.148.8
 Diagnosed with an STD (n = 79)31.037.834.2
 Wanted to stop using condoms (n = 80)25.640.532.5
 Want to have children† (n = 80)16.335.125.0
Partner Level Influences
 Have a new sexual partner (n = 80)46.554.150.0
 My partner’s sexual behavior42.954.148.1
 Suspect my partner is HIV positive† (n = 79)35.756.845.6
 A new partner asked† (n = 80)20.937.828.8
 Risk from my partner’s HIV status (n = 79)19.032.425.3
 Risk from my partner’s drug use (n = 79)19.021.620.3
 Might have exposed partner to HIV (n = 79)11.924.317.7
Social Influences
 Friends or family members were getting tested * (n = 80)34.962.247.5
 Friends or family were HIV positive (n = 80)11.624.317.5
Structural Influences
 A counselor or other professional suggested (n = 80)48.856.853.8
 Offered as part of my regular medical care† (n = 79)58.138.949.4
 Research study (n = 80)20.927.023.8
 Received a stipend (n = 80)20.927.021.3
 In foster care (n = 80)9.318.913.8
*p < .05.
†p < .10

Full article at:   http://goo.gl/7Een9u

Noelle R. Leonard, New York University, College of Nursing;
Noelle R. Leonard: ude.uyn@4lrn






Tuesday, December 29, 2015

Rationale, Design & Methods of the Ecological Study of Sexual Behaviors & HIV/STI among African American Men Who Have Sex with Men in the Southeastern United States (The MARI Study)

BACKGROUND:
This paper describes the rationale, design, and methodology of the Ecological Study of Sexual Behaviors and HIV/STI among African American Men Who Have Sex with Men (MSM) in the Southeastern United States (U.S.; known locally simply as the MARI Study).

METHODS:
Participants are African American MSM aged 18 years and older residing in the deep South.

RESULTS:
Between 2013 and 2015, 800 African American MSM recruited from two study sites (Jackson, MS and Atlanta, GA) will undergo a 1.5-hour examination to obtain anthropometric and blood pressure measures as well as to undergo testing for sexually transmitted infections (STI), including HIV. Intrapersonal, interpersonal, and environmental factors are assessed by audio computer-assisted self-interview survey. Primary outcomes include sexual risk behaviors (e.g., condomless anal sex) and prevalent STIs (HIV, syphilis, gonorrhea, and Chlamydia).

CONCLUSION:
The MARI Study will typify the HIV environmental 'riskscape' and provide empirical evidence into novel ecological correlates of HIV risk among African American MSM in the deep South, a population most heavily impacted by HIV. The study's anticipated findings will be of interest to a broad audience and lead to more informed prevention efforts, including effective policies and interventions, that achieve the goals of the updated 2020 U.S. National HIV/AIDS Strategy.

Below:  Instructions, with Illustrations, for the Self-Collected Pharyngeal Swab for Gonorrhea and Chlamydia Testing (Aptima CA2, Hologic, San Diego, California)



Below:   Instructions, with Illustrations, for the Self-Collected Rectal Swab for Gonorrhea and Chlamydia Testing (Aptima CA2, Hologic, San Diego, California)



Full article at:   http://goo.gl/HBJIc1

  • 1Center for Research, Evaluation and Environmental & Policy Change, My Brother's Keeper, Inc, 510 George Street, Unit 100, Jackson, MS, United States of America.
  • 2Department of Medicine, University of Mississippi Medical Center, 2500 North State Street, Jackson, MS 39213, United States of America.
  • 3R.E.D. Institute, AID Atlanta, Inc., 1605 Peachtree Street NE, Atlanta, GA 30309, United States of America.
  • 4Department of Population Health, New York University School of Medicine, 227 E 30th Street Room 621, New York, NY, 10016, United States of America.
  • 5Center for Community-Based Programs, My Brother's Keeper, Inc, 710 Avignon Drive, Ridgeland, MS, United States of America.