Sexual Subcultures and HIV Prevention Methods: An Assessment of Condom Use, PrEP, and TasP Among Gay, Bisexual, and Other Men Who Have Sex with Men Using a Social and Sexual Networking Smartphone Application.

Despite being grouped together in epidemiological risk categories, gay, bisexual, and other men who have sex with men (GBM) are not a homogenous group. In addition to traditional segmentation along race, ethnicity, and socioeconomic status, many GBM also identify with sexual subcultural communities. Previous research has shown differences across a variety of health outcomes between these sexual subcultural communities. The purpose of this study was to determine whether HIV prevention practices among GBM differed according to sexual subcultural community. The study was conducted in collaboration with a popular social and sexual networking smartphone application company. A total of 23,577 GBM responded to the survey. A latent class analysis identified 6 distinct classes related to sexual subcultural community identification. We found significant differences across sociodemographic characteristics, HIV prevention practices, and condomless anal sex in the past 6 months related to sexual subculture identification. Findings suggest that sexual subcultural identity is related to decision-making around HIV prevention among GBM. Differences in HIV prevention strategies are likely a function of group norms, unique shared experiences among GBM identifying with a particular sexual subculture community, and sociodemographic characteristics associated with these groups. As such, sexual subculture identity should be considered in developing interventions and social marketing campaigns to increase uptake of biomedical HIV prevention tools among GBM. Identifying group norms and shared experiences related to HIV prevention practices among sexual subcultures is necessary to understand the role these identities play in lives of GBM, especially as it relates to their sexual health and well-being.

Examining Recruitment Strategies in the Enrollment Cascade of Youth Living With HIV: Descriptive Findings From a Nationwide Web-Based Adherence Protocol.

BACKGROUND: Digital strategies and broadened eligibility criteria may optimize the enrollment of youth living with HIV in mobile health adaptive interventions. Prior research suggests that digital recruitment strategies are more efficient than traditional methods for overcoming enrollment challenges of youth living with HIV in the United States. OBJECTIVE: This study highlights the challenges and strategies that explain screening and enrollment milestones in a national web-based adherence protocol for youth living with HIV. METHODS: Baseline data from a national web-based HIV adherence protocol for youth living with HIV, collected from July 2018 to February 2021, were analyzed. A centralized recruitment procedure was developed, which used web-based recruitment via Online Master Screener; paid targeted advertisements on social media platforms (eg, Facebook and Reddit) and geosocial networking dating apps (eg, Grindr and Jack'd); and site and provider referrals from Subject Recruitment Venues and other AIDS service organizations, website referrals, and text-in recruitment. RESULTS: A total of 3 distinct cohorts of youth living with HIV were identified, marked by changes in recruitment strategies. Overall, 3270 individuals consented to screening, 2721 completed screening, 581 were eligible, and 83 completed enrollment. We examined sociodemographic and behavioral differences in completing milestones from eligibility to full enrollment (ie, submitting antiretroviral therapy and viral load data and completing the baseline web-based survey). Those with the most recent viral load tests >6 months ago were half as likely to enroll (odds ratio 0.45, 95% CI 0.21-0.94). Moreover, eligible participants with self-reported antiretroviral therapy adherence (SRA) between 50% and 80% were statistically significant (P<.001 to P=.03) and more likely to enroll than those with SRA >80%. CONCLUSIONS: The findings add to our knowledge on the use of digital technologies for youth living with HIV before and during the COVID-19 pandemic and provide insight into the impact of expanding eligibility criteria on enrollment. As the COVID-19 pandemic continues and the use of and engagement with social media and dating apps among youth living with HIV changes, these platforms should continue to be investigated as potential recruitment tools. Using a wide variety of recruitment strategies such as using social media and dating apps as well as provider referral mechanisms, increasing compensation amounts, and including SRA in enrollment criteria should continue to be studied with respect to their ability to successfully recruit and enroll eligible participants. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/11183.

Cardiovascular Risk Assessment Among Adolescents and Youths Living With HIV: Evaluation of Electronic Health Record Findings and Implications.

BACKGROUND: The HIV epidemic remains a major public health concern, particularly among youths living with HIV. While the availability of antiretroviral therapy has significantly improved the health outcomes of people living with HIV, there is growing evidence that youths living with HIV may be at increased risk of cardiovascular disease. However, the underlying mechanisms linking HIV and cardiovascular disease among youths living with HIV remain poorly understood. One potential explanation is that HIV-related biomarkers, including detectable viral load (VL) and low cluster of differentiation 4 (CD4) lymphocyte counts, may contribute to increased cardiovascular risk. Despite the potential importance of these biomarkers, the relationship between HIV-related biomarkers and cardiovascular risk among youths living with HIV has been understudied. OBJECTIVE: To address this gap, we examined whether detectable VL and low CD4 lymphocyte counts, both of which are indications of unsuppressed HIV, were associated with cardiovascular risk among youths living with HIV. METHODS: We analyzed electronic health record data from 7 adolescent HIV clinics in the United States (813 youths living with HIV). We used multivariable linear regression to examine the relationship between detectable VL and CD4 lymphocyte counts of ≤200 and cardiovascular risk scores, which were adapted from the gender-specific Framingham algorithm. RESULTS: In our study, nearly half of the participants (366/766, 47.8%) had detectable VL, indicating unsuppressed HIV, while 8.6% (51/593) of them had CD4 lymphocyte counts of ≤200, suggesting weakened immune function. We found that those with CD4 lymphocyte counts of ≤200 had significantly higher cardiovascular risk, as assessed by Cardiac Risk Score2, than those with CD4 lymphocyte counts of >200 (P=.002). After adjusting for demographic and clinical factors, we found that for every 1000-point increase in VL copies/mL, the probability of having cardiovascular risk (Cardiac Risk Score2) increased by 38%. When measuring the strength of this connection, we observed a minor effect of VL on increased cardiovascular risk (ß=.134, SE 0.014; P=.006). We obtained similar results with Cardiac Risk Score1, but the effect of CD4 lymphocyte counts of ≤200 was no longer significant. Overall, our findings suggest that detectable VL is associated with increased cardiovascular risk among youths living with HIV, and that CD4 lymphocyte counts may play a role in this relationship as well. CONCLUSIONS: Our study highlights a significant association between unsuppressed HIV, indicated by detectable VL, and increased cardiovascular risk in youths living with HIV. These findings emphasize the importance of implementing interventions that address both VL suppression and cardiovascular risk reduction in this population. By tailoring interventions to meet the unique needs of youths, we can promote overall well-being throughout the HIV care continuum and across the life span. Ultimately, these efforts have the potential to improve the health outcomes and quality of life of youths living with HIV. INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID): RR2-10.2196/11185.

Integrating Natural Language Processing and Interpretive Thematic Analyses to Gain Human-Centered Design Insights on HIV Mobile Health: Proof-of-Concept Analysis.

BACKGROUND: HIV mobile health (mHealth) interventions often incorporate interactive peer-to-peer features. The user-generated content (UGC) created by these features can offer valuable design insights by revealing what topics and life events are most salient for participants, which can serve as targets for subsequent interventions. However, unstructured, textual UGC can be difficult to analyze. Interpretive thematic analyses can preserve rich narratives and latent themes but are labor-intensive and therefore scale poorly. Natural language processing (NLP) methods scale more readily but often produce only coarse descriptive results. Recent calls to advance the field have emphasized the untapped potential of combined NLP and qualitative analyses toward advancing user attunement in next-generation mHealth. OBJECTIVE: In this proof-of-concept analysis, we gain human-centered design insights by applying hybrid consecutive NLP-qualitative methods to UGC from an HIV mHealth forum. METHODS: UGC was extracted from Thrive With Me, a web app intervention for men living with HIV that includes an unstructured peer-to-peer support forum. In Python, topics were modeled by latent Dirichlet allocation. Rule-based sentiment analysis scored interactions by emotional valence. Using a novel ranking standard, the experientially richest and most emotionally polarized segments of UGC were condensed and then analyzed thematically in Dedoose. Design insights were then distilled from these themes. RESULTS: The refined topic model detected K=3 topics: A: disease coping; B: social adversities; C: salutations and check-ins. Strong intratopic themes included HIV medication adherence, survivorship, and relationship challenges. Negative UGC often involved strong negative reactions to external media events. Positive UGC often focused on gratitude for survival, well-being, and fellow users' support. CONCLUSIONS: With routinization, hybrid NLP-qualitative methods may be viable to rapidly characterize UGC in mHealth environments. Design principles point toward opportunities to align mHealth intervention features with the organically occurring uses captured in these analyses, for example, by foregrounding inspiring personal narratives and expressions of gratitude, or de-emphasizing anger-inducing media.

Growing Acceptability of Undetectable = Untransmittable but Widespread Misunderstanding of Transmission Risk: Findings From a Very Large Sample of Sexual Minority Men in the United States.

BACKGROUND: Several studies have demonstrated no linked HIV transmissions in serodifferent sexual encounters where the partner with HIV has an undetectable viral load. As a result, awareness and dissemination of treatment as prevention, and movements such as "Undetectable = Untransmittable" (U = U), has grown. SETTING: We conducted an online cross-sectional survey from November 2017 through September 2018 to gather data from a total of 111,747 sexual minority men (SMM) in the United States. METHODS: Participants provided sociodemographic data and answered questions regarding biomedical status, HIV and STI prevention behaviors, drug use, condomless anal sex, and perceived accuracy of the U = U message. We conducted analyses to understand factors associated with perceived accuracy of U = U stratified by HIV status. RESULTS: Overall, 53.2% of the sample perceived U = U as accurate, with the highest rates among HIV-positive SMM (83.9%), followed by HIV-negative (53.8%) and status-unknown (39.0%) SMM. Multivariable models showed accuracy beliefs were, on average, 1-2% higher for each consecutive month of recruitment. Consistent with previous work, there was greater heterogeneity among HIV-negative and unknown men, with several factors differentiating perceived accuracy, compared with SMM with HIV. Perceived transmission risk levels with undetectable partners were skewed well above accurate levels, and greater perceived transmission risk was associated with lower perceived accuracy of U = U. CONCLUSIONS: Public confidence in treatment as prevention and U = U is growing, but clear, unequivocal messaging about the effectiveness of U = U is critical. Owing to misunderstandings of risk, language that focuses on protective benefits rather than transmission risks may reach more people and allow for better comparisons with PrEP and condoms.