Are HIV-positive young black MSM having safer sex than those who are HIV-negative?

"To Me, Everybody Is infected": Understanding Narratives about HIV Risk among HIV-negative Black Men Who Have Sex with Men in the Deep South

For black MSM living in the Deep South, the intersection of sexuality, race, and geography impacts HIV risk substantially. Between July and September 2016, we conducted a qualitative study among HIV-negative black MSM in five southern cities in the US with elevated HIV prevalence. Analysis included assessment of interrater reliability, cluster analysis, and descriptive statistics. We enrolled 99 black MSM (mean age: 33.6; SD = 12.8; range: 17-68 years). Four overarching themes emerged: harboring fear of HIV and the internalization of HIV stigma; scrutinizing potential partners to assess riskiness and HIV status; embracing distance and isolation from those perceived as a threat to HIV status; and exhibiting self-efficacy toward HIV prevention and utilizing risk reduction strategies. Future HIV prevention efforts may benefit by balancing risk and deficit based strategies with those that emphasize resilience, address disenfranchisement via structural interventions, and assess and treat inherent trauma(s).

Latent Classes of Sexual Risk Among Black Men Who Have Sex with Men and Women

Black men who have sex with men and women (BMSMW) are at high risk for HIV and other sexually transmitted infections (STIs). Despite knowing that HIV/STI risk varies by sexual positioning practices, limited data have characterized the risk profiles of BSMW. This study utilized latent class analysis (LCA) to explore BMSMW's sexual risk profiles regarding condomless sexual positioning practices. Participants were BMSMW in intervention studies in Los Angeles, Chicago, and Philadelphia. LCA was used to characterize their sexual risk profiles. Age, study location, HIV status, social support, and internalized homophobia were used as covariates in a multinomial regression model predicting the likelihood of class membership. Among the 546 participants, three latent classes of risk were identified: Seropositive Serosorters, Seronegative/unknown Serosorters, and Main Partners Only. All groups had the greatest probabilities of condomless sex with main partners. Seropositive Serosorters had the highest probabilities of condomless sex with HIV-positive partners. Seronegative/unknown Serosorters had the highest probabilities of condomless sex with HIV-negative or unknown status partners. HIV-positive BMSMW had 87% lower odds of being classified as Seronegative/unknown Serosorters than Seropositive Serosorters than HIV-negative/unknown status BMSMW (AOR = 0.13, 95% CI 0.06, 0.28). HIV-positive BMSMW had 71% lower odds of being classified as Main Partners Only than Seropositive Serosorters than HIV-negative/unknown status BMSMW (AOR = 0.29, 95% CI 0.16, 0.51). Findings highlight opportunities for clinicians to promote condom use and risk reduction among BMSMW with differing sexual risk profiles. Increased understanding of sexual positioning practices among BMSMW might help address HIV/STIs among this group.

Using Partially-Observed Facebook Networks to Develop a Peer-Based HIV Prevention Intervention: Case Study

Background

This is a case study from an HIV prevention project among young black men who have sex with men. Individual-level prevention interventions have had limited success among young black men who have sex with men, a population that is disproportionately affected by HIV; peer network–based interventions are a promising alternative. Facebook is an attractive digital platform because it enables broad characterization of social networks. There are, however, several challenges in using Facebook data for peer interventions, including the large size of Facebook networks, difficulty in assessing appropriate methods to identify candidate peer change agents, boundary specification issues, and partial observation of social network data.

Objective

This study aimed to explore methodological challenges in using social Facebook networks to design peer network–based interventions for HIV prevention and present techniques to overcome these challenges.

Methods

Our sample included 298 uConnect study respondents who answered a bio-behavioral survey in person and whose Facebook friend lists were downloaded (2013-2014). The study participants had over 180,000 total Facebook friends who were not involved in the study (nonrespondents). We did not observe friendships between these nonrespondents. Given the large number of nonrespondents whose networks were partially observed, a relational boundary was specified to select nonrespondents who were well connected to the study respondents and who may be more likely to influence the health behaviors of young black men who have sex with men. A stochastic model-based imputation technique, derived from the exponential random graph models, was applied to simulate 100 networks where unobserved friendships between nonrespondents were imputed. To identify peer change agents, the eigenvector centrality and keyplayer positive algorithms were used; both algorithms are suitable for identifying individuals in key network positions for information diffusion. For both algorithms, we assessed the sensitivity of identified peer change agents to the imputation model, the stability of identified peer change agents across the imputed networks, and the effect of the boundary specification on the identification of peer change agents.

Results

All respondents and 78.9% (183/232) of nonrespondents selected as peer change agents by eigenvector on the imputed networks were also selected as peer change agents on the observed networks. For keyplayer, the agreement was much lower; 42.7% (47/110) and 35.3% (110/312) of respondent and nonrespondent peer change agents, respectively, selected on the imputed networks were also selected on the observed network. Eigenvector also produced a stable set of peer change agents across the 100 imputed networks and was much less sensitive to the specified relational boundary.

Conclusions

Although we do not have a gold standard indicating which algorithm produces the most optimal set of peer change agents, the lower sensitivity of eigenvector centrality to key assumptions leads us to conclude that it may be preferable. The methods we employed to address the challenges in using Facebook networks may prove timely, given the rapidly increasing interest in using online social networks to improve population health.

The Relationship Between Psychological Temporal Perspective and HIV/STI Risk Behaviors Among Male Sex Workers in Mexico City

Men who have sex with men (MSM) face a disproportionate burden of HIV incidence and HIV prevalence, particularly young men who have sex with men. The aim of this article was to analyze the relation between a psychological temporal perspective and HIV/sexually transmitted infection (STI) risk behaviors among male sex workers (MSWs), a potentially highly present-oriented group of MSM. A total sample of 326 MSWs were included and responded to a validated psychological scale: the Zimbardo's Time Perspective Inventory; they also reported how frequently they engaged in protective behaviors against HIV and other STI risks behaviors, including condom use with casual and regular partners, as well as prior HIV testing. We adjusted structural equation models to analyze the relation between a psychological temporal perspective and HIV/STI risk behaviors. We found that orientation toward the past was correlated with decreased condom use with casual partners (β = - 0.18; CI_95% - 0.23, - 0.12). Future orientation was not associated with condom use with casual partners. Regarding condom use with regular partners, past and present orientation were related to lower likelihood of condom use (β = - 0.23; CI_95% - 0.29, - 0.17; β = - 0.11; CI_95% - 0.19, - 0.02), whereas future orientation increased the likelihood of condom use with regular partners (β = 0.40; CI_95% 0.31, 0.50). Time orientation (past, present, or future) did not predict the probability of having an HIV test. The design of HIV/STI prevention programs among vulnerable populations, such as MSM and MSWs, should consider specific time-frame mechanisms that can importantly affect sexual risk behavior decisions.