Literature DB >> 17885299

Explaining disparities in HIV infection among black and white men who have sex with men: a meta-analysis of HIV risk behaviors.

Gregorio A Millett1, Stephen A Flores, John L Peterson, Roger Bakeman.   

Abstract

OBJECTIVE: To identify factors that contribute to the racial disparity in HIV prevalence between black and white men who have sex with men (MSM) in the United States.
METHODS: A comprehensive literature search of electronic databases, online bibliographies, and publication reference lists yielded 53 quantitative studies of MSM published between 1980 and 2006 that stratified HIV risk behaviors by race. Meta-analyses were performed to compare HIV risks between black and white MSM across studies.
RESULTS: Compared with white MSM, black MSM reported less overall substance use [odds ratio (OR), 0.71; 95% confidence interval (CI), 0.53-0.97], fewer sex partners (OR, 0.64; 95% CI, 0.45-0.92), less gay identity (OR, 0.29; 95% CI, 0.17-0.48), and less disclosure of same sex behavior (OR, 0.42; 95% CI, 0.30-0.60). HIV-positive black MSM were less likely than HIV-positive white MSM to report taking antiretroviral medications (OR, 0.43; 95% CI, 0.30-0.61). Sexually transmitted diseases were significantly greater among black MSM than white MSM (OR, 1.64; 95% CI, 1.07-2.53). There were no statistically significant differences by race in reported unprotected anal intercourse, commercial sex work, sex with a known HIV-positive partner, or HIV testing history.
CONCLUSIONS: Behavioral risk factors for HIV infection do not explain elevated HIV rates among black MSM. Continued emphasis on risk behaviors will have only limited impact on the disproportionate rates of HIV infection among black MSM. Future research should focus on the contribution of other factors, such as social networks, to explain racial disparities in HIV infection rates.

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Year:  2007        PMID: 17885299     DOI: 10.1097/QAD.0b013e3282e9a64b

Source DB:  PubMed          Journal:  AIDS        ISSN: 0269-9370            Impact factor:   4.177


  307 in total

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2.  Application of syndemic theory to black men who have sex with men in the Multicenter AIDS Cohort Study.

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3.  Sexual Behavior Varies Between Same-Race and Different-Race Partnerships: A Daily Diary Study of Highly Sexually Active Black, Latino, and White Gay and Bisexual Men.

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Journal:  Arch Sex Behav       Date:  2015-12-22

4.  Prevalence of and Risk Factors for Anal Human Papillomavirus Infection in a Sample of Young, Predominantly Black Men Who Have Sex With Men, Houston, Texas.

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5.  Levels and predictors of HIV risk behavior among Black men who have sex with men.

Authors:  Jeffrey A Kelly; Janet S St Lawrence; Yuri A Amirkhanian; Wayne J DiFranceisco; Michelle Anderson-Lamb; Luis I Garcia; Manh T Nguyen
Journal:  AIDS Educ Prev       Date:  2013-02

6.  Concurrent partnerships and HIV risk among men who have sex with men in New York City.

Authors:  Hong-Van Tieu; Vijay Nandi; Victoria Frye; Kiwan Stewart; Heriberto Oquendo; Blaz Bush; Magdalena Cerda; Donald R Hoover; Danielle Ompad; Beryl A Koblin
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Review 7.  Assessing the role of masculinity in the transmission of HIV: a systematic review to inform HIV risk reduction counseling interventions for men who have sex with men.

Authors:  Robert J Zeglin
Journal:  Arch Sex Behav       Date:  2015-04-28

8.  Substance Use and Sexual Risk Behavior Among Black Men Who Have Sex With Men in New York City: Evidence for Increased Risk During Young Adulthood.

Authors:  Christina Aivadyan; Yong Gun Lee; Nabila El-Bassel; Elwin Wu
Journal:  AIDS Educ Prev       Date:  2021-02

9.  Attachment orientation and sexual risk behaviour among young Black gay and bisexual men.

Authors:  Stephanie H Cook; Daphne C Watkins; Benjamin Calebs; Patrick A Wilson
Journal:  Psychol Sex       Date:  2016-04-04

10.  Preexposure prophylaxis for adolescents and young adults at risk for HIV infection: is an ounce of prevention worth a pound of cure?

Authors:  Jill E Pace; George K Siberry; Rohan Hazra; Bill G Kapogiannis
Journal:  Clin Infect Dis       Date:  2012-12-07       Impact factor: 9.079

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