Epidemiology and Social
High HIV incidence and prevalence and associated factors among young MSM, 2008
Balaji, Alexandra B.; Bowles, Kristina E.; Le, Binh C.; Paz-Bailey, Gabriela; Oster, Alexandra M.; for the NHBS Study Group
Centers for Disease Control and Prevention, Atlanta, Georgia, USA.
Correspondence to Alexandra Balaji, PhD, Centers for Disease Control and Prevention, 1600 Clifton Road, N.E., MS E-46, Atlanta, GA 30333, USA. Tel: +1 404 639 4336; fax: +1 404 639 8640; e-mail: email@example.com
Received 12 June, 2012
Revised 11 September, 2012
Accepted 27 September, 2012
Data presented previously at the 2012 CROI meeting and published as abstract on the following website: http://www.retroconference.org/
Objective: To estimate HIV prevalence, annual HIV incidence density, and factors associated with HIV infection among young MSM in the United States.
Design: The 2008 National HIV Behavioral Surveillance System (NHBS), a cross-sectional survey conducted in 21 US cities.
Methods: NHBS respondents included in the analysis were MSM aged 18–24 with a valid HIV test who reported at least one male sex partner in the past year. We calculated HIV prevalence and estimated annual incidence density (number of HIV infections/total number of person-years at risk). Generalized estimating equations were used to determine factors associated with testing positive for HIV.
Results: Of 1889 young MSM, 198 (10%) had a positive HIV test; of these, 136 (69%) did not report previously testing HIV positive when interviewed. Estimated annual HIV incidence density was 2.9%; incidence was highest for blacks. Among young MSM who did not report being HIV infected, factors associated with testing HIV positive included black race; less than high school education; using both alcohol and drugs before or during last sex; having an HIV test more than 12 months ago; and reporting a visit to a medical provider in the past year.
Conclusion: HIV prevalence and estimated incidence density for young MSM were high. Individual risk behaviors did not fully explain HIV risk, emphasizing the need to address sociodemographic and structural-level factors in public health interventions targeted toward young MSM.
More than 30 years since the first reported cases of AIDS, HIV infection continues at epidemic proportions in the United States. The Centers for Disease Control and Prevention (CDC) estimates that approximately 50 000 new HIV infections occur each year and 1.2 million Americans are living with HIV [1,2]. Young MSM remain disproportionately affected by HIV, and this disparity continues to grow. Based on incidence surveillance, between 2006 and 2009, there was a 21% increase in new infections for people aged 13–29 years, driven by a 34% increase among MSM in this age group. This risk was especially notable for young MSM from minority racial or ethnic groups. During 2006 and 2009, there were more new HIV infections among young, black MSM than among any other age or racial group of MSM and there was a 48% increase over this time period in HIV incidence for this population. Among Hispanic MSM, the largest number of new infections occurred among 13–29-year-olds .
The burden of undiagnosed infection is particularly high for young MSM. MacKellar et al.  found that 77% of HIV-infected 15–29-year-old MSM (and 91% of HIV-infected young black MSM) tested in six US cities were unaware of their infection. Increasing the percentage of HIV-infected persons who are aware of their serostatus is a central tenet of HIV prevention and care, as persons who know that they are HIV infected can implement behavioral changes and begin clinical treatment that optimize clinical outcomes and reduce the risk of transmission to others [4–6].
The research to date highlights the growing burden of HIV on young MSM, particularly young, minority MSM. Although estimates of HIV incidence are an essential element for monitoring the epidemic, estimates of HIV incidence rates among young MSM in the United States remain limited. Data from HIV case surveillance can provide an estimate of the number of incident infections among this population; however, as the size of the population of young MSM is difficult to assess, these data cannot be used to calculate an incidence rate.
In addition, the characteristics and behaviors associated with HIV infection and diagnosis in this population require further investigation. Previous studies have identified individual-level factors that put young MSM at increased risk for acquiring HIV [7,8]. However, individual-level risk behaviors have not adequately explained the HIV-related racial disparities between black and white MSM [9,10]. Although partner-level factors may partially explain disparities, there has been limited research on the role of partner characteristics and relationship dynamics in young MSM's risk for HIV . Moreover, sociocultural and structural determinants of health, including community, political, educational, and economic factors are now understood to play a role in HIV risk .
In this study, we used data from the second round of the National HIV Behavioral Surveillance System (NHBS) among MSM (NHBS-MSM2), conducted during 2008, to estimate HIV prevalence, annual HIV incidence density, and factors associated with being HIV-infected among MSM aged 18–24 years.
National HIV Behavioral Surveillance System
NHBS conducts surveys and HIV testing in populations at risk of HIV infection, including MSM, injection drug users, and heterosexuals at increased risk of infection . NHBS-MSM2 was conducted in 21 metropolitan statistical areas (MSAs), selected based on a high number of people living with AIDS (Atlanta, Georgia; Baltimore, Maryland; Boston, Massachusetts; Chicago, Illinois; Dallas, Texas; Denver, Colorado; Detroit, Michigan; Houston, Texas; Los Angeles, California; Miami, Florida; Nassau, New York; Newark, New Jersey; New Orleans, Louisiana; New York City, New York; Philadelphia, Pennsylvania; San Diego, California; San Francisco, California; San Juan, Puerto Rico; Seattle, Washington; St. Louis, Missouri; and Washington, District of Columbia.). MSM were recruited using venue-based, time-space sampling . Activities included formative research to identify venues and times to recruit MSM ; development of sampling frames of eligible venues and day-time periods; random selection of venues and day-time periods; and recruitment, interviewing, and testing during sampled events.
The eligibility criteria included being male, at least 18 years of age, a resident of the MSA, able to complete the survey in English or Spanish, and able to provide informed consent. Trained interviewers used handheld computers to administer a standardized questionnaire. Anonymous HIV testing was offered to all participants regardless of self-reported HIV infection status. NHBS project sites could choose to collect blood or oral specimens for either conventional laboratory testing or rapid testing in the field followed by laboratory confirmation. As blood-based testing is more sensitive than oral fluid testing for detecting early HIV infection, the variation in the use of oral or blood specimens may have had a small impact on HIV prevalence estimates . Activities for NHBS-MSM2 were approved by the local institutional review boards for each participating MSA.
Participants were included in this analysis if they had a completed, valid survey; reported at least one male sex partner in the past 12 months; had a positive or negative HIV test result, and were aged 18–24 years. Results are unweighted.
First, we described sociodemographic characteristics and behaviors of young MSM. Next, we derived estimates of annual HIV incidence density  by including the number who tested positive for HIV infection as the numerator and the total number of person-years at risk as the denominator. Person-years at risk was calculated by subtracting age at first anal sex with a man from first positive HIV test (for persons who reported having previously been diagnosed with HIV infection) or current age minus age at first anal sex with a man (for all others). Age at first sex with a man was derived from a single question that asked respondents how old they were the first time they had oral or anal sex with a man. The minimum value for age at first sex with a man was set as 11 years. Because oral sex confers low risk for HIV acquisition and it has been demonstrated that, among young MSM, first oral sex precedes first anal sex by approximately 1.5 years [17–19], we adjusted age at first sex by 1.5 years for all respondents to reflect estimated age at first anal sex. Using this method, we calculated estimated annual incidence density for the entire group, as well as by each racial/ethnic group (white, black, Hispanic, other) and US census region (Boston, Nassau, New York City, Newark, Philadelphia = Northeast; Baltimore, Atlanta, Dallas, Houston, Miami, New Orleans = South, Chicago, Detroit, St Louis = Midwest; Denver, Los Angeles, San Francisco, Seattle, San Diego = West; San Juan = US Territories). We used the Wilcoxon–Mann–Whitney nonparametric test to compare the distributions of continuous variables (current age and age at first anal sex with a man).
We also described select characteristics of the most recent sexual encounter among young MSM, stratified by whether that partner was considered a main partner [a man with whom the participant had sex and to whom he felt most committed (e.g. boyfriend, spouse, significant other, or life partner)] or a casual partner (a man with whom the participant had sex but to whom he did not feel committed or whom he did not know very well, or with whom the participant had sex in exchange for things like money or drugs). We computed likelihood ratio square tests to determine statistically significant differences (P < 0.05) between main and casual partners.
Finally, in order to identify risk factors that may contribute to HIV acquisition among young MSM, we excluded those who reported being previously diagnosed with HIV and determined the proportion who tested positive during NHBS overall and by sociodemographic characteristics and behaviors. We first created univariable generalized estimating equations, clustered on MSA of interview, to determine factors that were associated with testing positive for HIV. We then created a multivariable model that included all factors associated with HIV infection at P less than 0.1 level in the univariable models as well as age, annual household income, and sexual identity. When examining how HIV infection varied by region, we did not cluster on MSA of interview for the univariate results as this produced imprecise estimates and we did not include region in the multivariable model because clustering was already accounted for by MSA.
In total, 28 468 persons were approached for participation at 626 venues; 12 474 (44%) persons were screened for participation, 11 074 (89%) of whom were eligible for the survey. A total of 1400 were not eligible: 1138 lived outside the MSA, 45 were aged less than 18 years, 71 were previous participants, 91 did not identify themselves as men, and 83 were not able to provide their consent to the survey (e.g. men who were intoxicated or who did not speak either English or Spanish well); exclusion categories were not mutually exclusive. Among the persons who were eligible, 10 645 (86%) completed the survey with valid responses. Of these, 9342 (88%) consented to HIV testing and had a valid test result, 8153 (87%) of whom reported male–male sex during the past 12 months. Of these, 1889 (23%) were aged 18–24 years and are included in this analysis. There were 203 individuals who were aged 18–24 years and eligible for the study who were excluded from this analysis because they did not have a complete survey or a valid HIV test result. Those excluded were more likely to be non-Hispanic black (P = 0.009).
Mean age was 21.4 years. Of the young men, 36% identified as non-Hispanic black, 29% as Hispanic, and 27% as non-Hispanic white (Table 1). Most (90%) young men reported completing at least a high school degree and almost half (47%) reported less than $20 000 in annual household income. The majority (76%) of young men identified as gay or homosexual. Most (65%) of the young men were recruited in bars and dance clubs.
Table 1-a Selected c...Image Tools
During the past 12 months, almost half (46%) of participants reported using marijuana, over a quarter reported using stimulants [cocaine, ecstasy, poppers (amyl nitrate), or methamphetamine], whereas few (2%) reported injection drug use. A majority of participants had health insurance (60%), visited a healthcare provider during the past 12 months (75%), and reported being tested for HIV during the past 12 months (67%).
Table 1-b Selected c...Image Tools
Mean age of estimated anal sexual debut with a male partner was 17.8 years (interquartile range, 16.5–19.5). Both current age of participant and age at first anal sex with a man were highest for whites. Of 1889 young MSM, 198 (10.5%) had a positive HIV test; 6.2% of whites, 16.5% of blacks, 6.9% of Hispanics, and 11.0% of MSM of other races tested positive for HIV infection. Overall, the estimated annual HIV incidence density was 2.9%. Incidence was 1.6% for whites, 5.1% for blacks, 1.9% for Hispanics, and 2.9% for MSM of other races (Table 2). By region, the incidence was 3.0% in cities in the Northeast, 3.8% in cities in the South, 3.0% in cities in the Midwest, 1.8% in cities in the West, and 1.2% in city of San Juan the US Territory of Puerto Rico.
Table 3 presents characteristics of the most recent sexual encounter with a man, stratified by whether he was a main or casual partner. Of all young MSM, 956 (52%) reported that their last partner was a main partner, and 870 (48%) a casual partner. Forty-two percent of casual partners compared to 31% of main partners were 5 or more years older. Forty-eight percent of casual partners and 23% of main partners were of unknown HIV status. Nineteen percent of main partnerships and 62% of casual partnerships were less than 3 months in duration. Concurrent sexual relationships were more likely to occur with casual partners. Among men with casual partners, 51% reported that during the time that they were having a sexual relationship with their last partner, they were also having sex with other people and 62% reported that their most recent partner definitely or probably had sex with other people during the same time. For men with main partners, the percentages were 28 and 29, respectively. Young MSM were significantly more likely to report anal sex or unprotected anal sex with a main partner and less likely to report use of drugs or alcohol with main partners, compared with their casual partners.
To identify risk factors that may contribute to HIV acquisition among young MSM, we excluded those who reported being previously diagnosed with HIV and analyzed characteristics associated with being HIV-infected in the remaining sample (Table 4). Of these, 136 (7.4%) young MSM tested positive for HIV infection. In multivariable analysis, young MSM were less likely to be HIV infected if they were of ages 18–19 [adjusted prevalence ratio (aPR) 0.39, confidence interval (CI) 0.22–0.70] compared to ages 23–24. Young MSM were more likely to be HIV infected if they were black (aPR 3.08, 95% CI 1.89–5.00) or of other race/ethnicity (aPR 2.02, CI 1.06–3.86) compared to white; had less than a high school degree (aPR 1.87, CI 1.08–3.23) compared to some college or more; used both alcohol and drugs before or during last sex (aPR 1.97, 95% CI 1.20–3.55); had their most recent HIV test more than 12 months ago (aPR 1.57, CI 1.18–2.10) compared to less than 12 months ago; or reported a visit to a medical provider in the past 12 months (aPR 1.84, CI 1.21–2.81).
Table 4-a Characteri...Image Tools
Of the 136 young MSM who were HIV infected, 16 (11%) had never been tested, 32 (24%) had their most recent test more than 12 months ago, and 87 (64%) had been tested in the past 12 months.
Table 4-b Characteri...Image Tools
HIV prevalence and estimated annual incidence density for young MSM were high. These findings were particularly pronounced for young black MSM, who had an HIV prevalence of 16.5% and an estimated annual incidence of 5.1%. This is comparable to the 5.9% HIV incidence found among 18–30-year-old black MSM in a recent longitudinal study conducted in six cities  and the 6.4% incidence found among a young sample of black MSM enrolled in a prospective HIV/STI incidence cohort study in Atlanta . The similarity of these cohort study HIV incidence estimates to the incidence density calculated for the current study provides validation for an approach to estimating incidence that is less complex and more cost-effective.
The high prevalence and estimated annual incidence density among MSM aged 18–24 in our study underscores the need for this group to be considered a priority for HIV prevention. CDC currently recommends the use of a High-Impact Prevention approach to reduce new HIV infections. This approach uses a combination of targeted, scientifically proven interventions that are cost-effective and scalable . For young MSM, this would include reaching the population with proven approaches such as condom distribution and behavioral interventions before they become infected [8,23]. In addition, it is imperative to implement effective strategies among HIV-infected young MSM to prevent transmission of HIV to others . We found that one-third of sexually active young MSM had not been tested in the past 12 months; this suggests that efforts to improve the uptake of current CDC recommendations  that all sexually active MSM test for HIV at least annually, need to be expanded. However, the proportion reporting testing for HIV in the past year is higher than for MSM of other age groups . Even among those young MSM who were HIV infected at the time of interview, 41% reported a negative HIV test result in the past year, supporting previous data suggesting that more frequent testing, such as every 3–6 months, of some groups of MSM may be warranted .
Similar to previous research [27–30], our analysis found that young MSM were more likely to have unprotected anal intercourse (UAI) with a main partner than a casual partner. This pattern may be linked to characteristics of main partnerships, such as greater trust and familiarity, the perception that condoms interfere with intimacy, and in some cases, a representation of relationship power differentials [29,31,32]. We also found that almost half of relationships with main partners were less than 6 months in duration. This is consistent with other studies [29,33] suggesting a tendency for serial monogamy among young MSM, increasing the likelihood of main partner change. The short duration of relationships combined with the higher occurrence of UAI could substantially increase HIV risk. Studies have suggested that the majority of HIV transmissions among MSM, and particularly young MSM, occur between main partners [33,34]. Our findings support the continuing examination of the association between partnership characteristics and HIV risk and suggest the importance of developing relationship-level HIV prevention interventions for young MSM.
Whereas UAI was more common with main partners, those who had a casual partner were more likely to use drugs or alcohol before or during the last sexual encounter, and an association was found between combined drug and alcohol use and being HIV infected. Although not examined in this analysis, previous research has found a relationship between the use of drugs and alcohol and sexual risk-taking [7,8]. Together, these findings emphasize the need for HIV prevention strategies aimed at young MSM to address the association between substance use and sexual risk-taking .
A high percentage of young men with casual partners reported that their partner had concurrent sexual relationships. Although research on concurrency among MSM is rare [35,36], mathematical modeling studies have suggested that differential rates of concurrency across populations may explain population differences in HIV prevalence, as well as racial disparities in HIV observed within the United States [37–40].
We also found that sociodemographic variables (including race and education status) were more strongly associated with HIV infection than were individual risk behaviors, emphasizing the continued need to look beyond individual-level factors to explain disparities in HIV infection [9,10]. Likewise, interventions focusing on individual behaviors need to be paired with community-level interventions that raise awareness about HIV and improve the community response to the epidemic; structural interventions that address social and economic disparities of HIV infection are also needed. As there remains a dearth of HIV prevention interventions targeting young MSM , it is imperative that future efforts be directed toward developing, testing, and implementing efficacious interventions for this population.
Among respondents who did not previously report being HIV infected, those who tested HIV positive during NHBS were more likely than those who tested HIV negative to have seen a healthcare provider in the past year. It is possible that some of these individuals saw a healthcare provider for symptoms related to their HIV infection or another sexually transmitted disease (STD), but were not offered HIV testing as part of their visit. A goal of the National HIV/AIDS Strategy is to increase the proportion of persons who are aware of their status , and CDC recommends HIV screening as part of regular healthcare in clinical settings .
This study has several limitations. First, participants were recruited at venues in 21 US cities with high AIDS prevalence and are not representative of all young MSM. Second, the data in this study are not weighted to account for variations in venue attendance or likelihood of being selected to participate in the survey. Third, because of the sensitive nature of HIV status, some participants who had previously been diagnosed with HIV infection may not have reported their positive HIV status, resulting in their inclusion in the analysis presented in Table 4. Fourth, all of our survey data were self-reported and may, therefore, have associated biases. Finally, our calculations of estimated annual incidence density are likely an underestimate. Because we do not have the actual date of seroconversion, we calculated person-years at risk using the date of first positive HIV test. This likely inflates the denominator for this calculation and results in our estimate being a conservative one.
Given the complexity of factors associated with HIV infection among young MSM, the use of High-Impact Prevention holds promise as a way to implement a multifaceted approach that addresses HIV testing, care and treatment services for HIV and other STDs, prevention with persons already diagnosed with infection, and prevention among persons at greatest risk for HIV infection. As individual behaviors do not fully explain HIV risk, sociodemographic and structural-level factors need to be incorporated in public health interventions targeted toward young MSM.
The authors thank The NHBS Study Group, which includes the following persons: Atlanta, GA: Jennifer Taussig, Robert Gern, Tamika Hoyte, Laura Salazar; Baltimore, MD: Colin Flynn, Frangiscos Sifakis; Boston, MA: Debbie Isenberg, Maura Driscoll, Elizabeth Hurwitz; Chicago, IL: Nikhil Prachand, Nanette Benbow; Dallas, TX: Sharon Melville, Praveen Pannala, Richard Yeager, Aaron Sayegh, Jim Dyer, Alicia Novoa; Denver, CO: Mark Thrun, Alia Al-Tayyib, Ralph Wilmoth; Detroit, MI: Emily Higgins, Vivian Griffin, Eve Mokotoff; Houston, TX: Marcia Wolverton, Jan Risser, Hafeez Rehman; Los Angeles, CA: Trista Bingham, Ekow Sey; Miami, FL: Marlene LaLota, Lisa Metsch, Dano Beck, David Forrest; Nassau-Suffolk, NY: Chris Nemeth, Carol-Ann Watson; New Orleans, LA: Billy Robinson, Deann Gruber; New York City, NY: Chris Murrill, Alan Neaigus, Samuel Jenness, Holly Hagan, and Travis Wendel; Newark, NJ: Helene Cross, Barbara Bolden, Sally D’Errico; Philadelphia, PA: Kathleen Brady, Althea Kirkland; San Diego, CA: Vanessa Miguelino, Al Velasco; San Francisco, CA: Henry Raymond, Willi McFarland; San Juan, PR: Sandra Miranda De León, Yadira Rolón-Colón; Seattle, WA: Maria Courogen, Hanne Thiede, Nadine Snyder, Richard Burt; St Louis, MO: Michael Herbert, Yelena Friedberg, Dale Wrigley, Jacob Fisher; Washington, DC: Paul Cunningham, Marie Sansone, Tiffany West-Ojo, Manya Magnus, Irene Kuo; CDC: Behavioral Surveillance Team, Division of HIV/AIDS Prevention, National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention, CDC.
The following are the contributions of the authors to the study: A.B: study conception, data analysis, and wrote the article; K.B. and G.P.B.: data analysis and edited the article; B.L.: data analysis; and A.O.: study conception, data analysis, and edited the article.
The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention (CDC).
Funding for NHBS is provided by CDC.
Conflicts of interest
There are no conflicts of interest.
1. Centers for Disease Control and Prevention. HIV surveillance – United States, 1981-2008.MMWR Morb Mortal Wkly Rep
2. Prejean J, Song R, Hernandez A, Ziebell R, Green T, Walker F, et al. Estimated HIV incidence in the United States, 2006–2009
. PLoS One
3. MacKellar DA, Valleroy LA, Secura GM, Behel S, Bingham T, Celentano DD, et al. Unrecognized HIV infection, risk behaviors, and perceptions of risk among young men who have sex with men: opportunities for advancing HIV prevention in the third decade of HIV/AIDS
. J Acquir Immune Defic Syndr
4. Marks G, Crepaz N, Senterfitt JW, Janssen RS. Meta-analysis of high-risk sexual behavior in persons aware and unaware they are infected with HIV in the United States: implications for HIV prevention programs
. J Acquir Immune Defic Syndr
5. Policy TWHOoNA. National HIV/AIDS strategy for the United States.
Washington, DC: Office of National AIDS Policy; 2010.
6. Cohen MS, Chen YQ, McCauley M, Gamble T, Hosseinipour MC, Kumarasamy N, et al. Prevention of HIV-1 infection with early antiretroviral therapy
. N Engl J Med
7. Celentano DD, Valleroy LA, Sifakis F, MacKellar DA, Hylton J, Thiede H, et al. Associations between substance use and sexual risk among very young men who have sex with men
. Sex Transm Dis
8. Mustanski BS, Newcomb ME, Du Bois SN, Garcia SC, Grov C. HIV in young men who have sex with men: a review of epidemiology, risk and protective factors, and interventions
. J Sex Res
9. Millett GA, Flores SA, Peterson JL, Bakeman R. Explaining disparities in HIV infection among black and white men who have sex with men: a meta-analysis of HIV risk behaviors
10. Millett GA, Peterson JL, Wolitski RJ, Stall R. Greater risk for HIV infection of black men who have sex with men: a critical literature review
. Am J Public Health
11. Dean HD, Fenton KA. Addressing social determinants of health in the prevention and control of HIV/AIDS, viral hepatitis, sexually transmitted infections, and tuberculosis
. Public Health Rep
2010; 125 (Suppl 4):1–5.
12. Gallagher KM, Sullivan PS, Lansky A, Onorato IM. Behavioral surveillance among people at risk for HIV infection in the US: the National HIV Behavioral Surveillance System
. Public Health Rep
2007; 122 (Suppl 1):32–38.
13. MacKellar DA, Gallagher KM, Finlayson T, Sanchez T, Lansky A, Sullivan PS. Surveillance of HIV risk and prevention behaviors of men who have sex with men: a national application of venue-based, time-space sampling
. Public Health Rep
2007; 122 (Suppl 1):39–47.
14. Allen DR, Finlayson T, Abdul-Quader A, Lansky A. The role of formative research in the National HIV Behavioral Surveillance System
. Public Health Rep
15. Masciotra S, McDougal JS, Feldman J, Sprinkle P, Wesolowski L, Owen SM. Evaluation of an alternative HIV diagnostic algorithm using specimens from seroconversion panels and persons with established HIV infections
. J Clin Virol
2011; 52 (Suppl 1):S17–S22.
16. Osmond DH, Page K, Wiley J, Garrett K, Sheppard HW, Moss AR, et al. HIV infection in homosexual and bisexual men 18 to 29 years of age: the San Francisco Young Men's Health Study
. Am J Public Health
17. Halkitis PN, Brockwell S, Siconolfi DE, Moeller RW, Sussman RD, Mourgues PJ, et al. Sexual behaviors of adolescent emerging and young adult men who have sex with men ages 13-29 in New York City
. J Acquir Immune Defic Syndr
18. Bruce D, Harper GW, Fernandez MI, Jamil OB. Age-concordant and age-discordant sexual behavior among gay and bisexual male adolescents.Arch Sex Behav
19. Kubicek K, Carpineto J, McDavitt B, Weiss G, Iverson EF, Au CW, et al. Integrating professional and folk models of HIV risk: YMSM's perceptions of high-risk sex
. AIDS Educ Prev
20. Koblin B, Mayer K, Eshleman S, Wang L, Shoptaw S, del Rio C, et al.Correlates of HIV incidence among men who have sex with men in 6 U.S. cities (HPTN 061).International AIDS Conference
. Washington, DC; 2012.
21. Rosenberg ES, Kelley C, O’Hara B, Frew P, Peterson JL, Sanchez T, et al.Equal behaviors, unequal risks: the role of partner transmission potential in racial HIV disparities among men who have sex with men (MSM) in the United States.International AIDS Conference
. Washington, DC; 2012.
22. Centers for Disease Control and Prevention. High-impact HIV prevention: CDC's approach to reducing HIV infections in the United States
. Atlanta, GA: CDC; 2011.
23. Hays RB, Rebchook GM, Kegeles SM. The Mpowerment Project: community-building with young gay and bisexual men to prevent HIV1
. Am J Community Psychol
24. Branson BM, Handsfield HH, Lampe MA, Janssen RS, Taylor AW, Lyss SB, et al. Revised recommendations for HIV testing of adults, adolescents, and pregnant women in health-care settings
. MMWR Recomm Rep
2006; 55:1–17.quiz CE11-14.
25. Finlayson TJ, Le B, Smith A, Bowles K, Cribbin M, Miles I, et al. HIV risk, prevention, and testing behaviors among men who have sex with men: National HIV Behavioral Surveillance System, 21 U.S. cities, United States, 2008
. MMWR Surveill Summ
26. HIV testing among men who have sex with men: 21 cities, United States, 2008.MMWR Morb Mortal Wkly Rep
27. Bingham TA, Harawa NT, Johnson DF, Secura GM, MacKellar DA, Valleroy LA. The effect of partner characteristics on HIV infection among African American men who have sex with men in the Young Men's Survey, Los Angeles, 1999–2000
. AIDS Educ Prev
28. Hart T, Peterson JL. Predictors of risky sexual behavior among young African American men who have sex with men
. Am J Public Health
29. Mustanski B, Newcomb ME, Clerkin EM. Relationship characteristics and sexual risk-taking in young men who have sex with men.Health Psychol
30. Crepaz N, Marks G, Mansergh G, Murphy S, Miller LC, Appleby PR. Age-related risk for HIV infection in men who have sex with men: examination of behavioral, relationship, and serostatus variables
. AIDS Educ Prev
31. Davidovich U, de Wit JB, Stroebe W. Behavioral and cognitive barriers to safer sex between men in steady relationships: implications for prevention strategies
. AIDS Educ Prev
32. Koblin BA, Torian L, Xu G, Guilin V, Makki H, Mackellar D, et al. Violence and HIV-related risk among young men who have sex with men
. AIDS Care
33. Sullivan PS, Salazar L, Buchbinder S, Sanchez TH. Estimating the proportion of HIV transmissions from main sex partners among men who have sex with men in five US cities
34. Davidovich U, de Wit J, Albrecht N, Geskus R, Stroebe W, Coutinho R. Increase in the share of steady partners as a source of HIV infection: a 17-year study of seroconversion among gay men
35. Hurt CB, Matthews DD, Calabria MS, Green KA, Adimora AA, Golin CE, et al. Sex with older partners is associated with primary HIV infection among men who have sex with men in North Carolina
. J Acquir Immune Defic Syndr
36. Stupiansky NW, Rosenberger JG, Schick V, Herbenick D, Novak DS, Reece M. Factors associated with sexually transmitted infection testing among men who utilize an internet-based men who have sex with men community
. AIDS Patient Care STDS
37. Eaton JW, Hallett TB, Garnett GP. Concurrent sexual partnerships and primary HIV infection: a critical interaction
. AIDS Behav
38. Morris M, Kretzschmar M. Concurrent partnerships and the spread of HIV
39. Morris M, Epstein H, Wawer M. Timing is everything: international variations in historical sexual partnership concurrency and HIV prevalence
. PLoS One
40. Kim JH, Riolo RL, Koopman JS. HIV transmission by stage of infection and pattern of sexual partnerships
41. Lyles CM, Kay LS, Crepaz N, Herbst JH, Passin WF, Kim AS, et al. Best-evidence interventions: findings from a systematic review of HIV behavioral interventions for US populations at high risk, 2000–2004
. Am J Public Health
42. Policy OoNA. National HIV/AIDS Strategy.
Washington, DC: Office of National AIDS Policy; 2010.
HIV seroprevalence; MSM; risk factors; sexual behaviors; young adult
© 2013 Lippincott Williams & Wilkins, Inc.
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