We used an internet-based survey platform to conduct a cross-sectional survey regarding the impact of COVID-19 on the LGBTQ + population in the United States. While this method of data collection was quick and inexpensive, the data collected required extensive cleaning due to the infiltration of bots. Based on this experience, we provide recommendations for ensuring data integrity. Recruitment conducted between May 7 and 8, 2020 resulted in an initial sample of 1251 responses. The Qualtrics survey was disseminated via social media and professional association listservs. After noticing data discrepancies, research staff developed a rigorous data cleaning protocol. A second wave of recruitment was conducted on June 11–12, 2020 using the original recruitment methods. The five-step data cleaning protocol led to the removal of 773 (61.8%) surveys from the initial dataset, resulting in a sample of 478 participants in the first wave of data collection. The protocol led to the removal of 46 (31.9%) surveys from the second two-day wave of data collection, resulting in a sample of 98 participants in the second wave of data collection. After verifying the two-day pilot process was effective at screening for bots, the survey was reopened for a third wave of data collection resulting in a total of 709 responses, which were identified as an additional 514 (72.5%) valid participants and led to the removal of an additional 194 (27.4%) possible bots. The final analytic sample consists of 1090 participants. Although a useful and efficient research tool, especially among hard-to-reach populations, internet-based research is vulnerable to bots and mischievous responders, despite survey platforms’ built-in protections. Beyond the depletion of research funds, bot infiltration threatens data integrity and may disproportionately harm research with marginalized populations. Based on our experience, we recommend the use of strategies such as qualitative questions, duplicate demographic questions, and incentive raffles to reduce likelihood of mischievous respondents. These protections can be undertaken to ensure data integrity and facilitate research on vulnerable populations.

The persistence of disparities in STI/HIV risk among a new generation of emerging adult gay, bisexual, and other men who have sex with men (YMSM) warrant holistic frameworks and new methodologies for investigating the behaviors related to STI/HIV in this group. In order to better understand the continued existence of these disparities in STI/HIV risk among YMSM, the present study evaluated the presence and persistence of syndemic conditions among YMSM by examining the co-occurrence of alcohol and drug use, unprotected sexual behavior, and mental health burden over time. Four waves of data, collected over the first 18 months of a 7 wave, 36-month prospective cohort study of YMSM (n=598) were used to examine the extent to which measurement models of drug use, unprotected sexual behavior, and mental health burden remained consistent across time using latent class modeling. Health challenges persisted across time as these YMSM emerged into young adulthood and the measurement models for the latent constructs of drug use and unprotected sexual behavior were essentially consistent across time whereas models for mental health burden varied over time. In addition to confirming the the robustness of our measurement models which capture a more holistic understandings of the health conditions of drug use, unprotected sex, and mental health burden, these findings underscore the ongoing health challenges YMSM face as they mature into young adulthood. These ongoing health challenges, which have been understood as forming a syndemic, persist over time, and add further evidence to support ongoing and vigilant comprehensive health programming for sexual minority men that move beyond a sole focus on HIV.

Geosocial-networking smartphone applications (“apps”) are widely used by gay, bisexual, and other men who have sex with men (MSM) and facilitate connections between users based on proximity and attraction. MSM have sexual encounters and relationships of varying degrees of emotional and physical intimacy with app-met individuals, potentially placing them at risk for intimate partner violence (IPV). The purpose of the current study was to utilize a geosocial-networking application to investigate relationships between experiences of IPV victimization as it relates to substance use and sexual risk behaviors in a sample of MSM. Participants ( n = 175) were recruited by means of broadcast advertisements on an application widely used by MSM (Grindr) to seek sexual partners. Multivariable regression models were fit to examine associations between IPV, substance abuse, and sexual risk behaviors. Lifetime experiences of IPV victimization were common, where 37.7% of respondents reported having experienced at least one form of IPV. While a marginally significant positive association between IPV and substance abuse was detected in multivariable models ( p = .095), individual forms of IPV were strongly associated with substance abuse. For example, sexual IPV victimization was associated with an increase in substance abuse in the preceding month ( p = .004). Experiences of IPV victimization were associated with higher numbers of partners for both condomless receptive and insertive anal intercourse ( p < .05). Given the relatively high prevalence of IPV victimization and its associations with substance abuse and sexual risk behaviors, these findings suggest that IPV screening and prevention programs may reduce substance abuse and sexual risk behaviors in this population.

Objectives Substance use is prevalent among young men who have sex with men (YMSM) and may be associated with intimate partner violence (IPV). Experiences of IPV are associated with several adverse health conditions among adult MSM, but there is a gap in knowledge about this relationship among YMSM which warrants further investigation. Methods This study employs baseline data from a prospective cohort study to examine lifetime experiences of IPV in relation to substance use in the previous 30 days among n=528 YMSM in New York City from 2009-11. To examine the extent to which IPV (any experiences, victimization, and perpetration) are related to substance use (alcohol, marijuana, stimulant, and other drugs) in the last 30 days, distinct 2-step multinomial logistic regression models, controlling for sociodemographic differences, were constructed. Results 44.3% reported lifetime IPV experience, with 39.2% of reporting victimization and 30.5% reporting perpetration. IPV is associated with a 1.6 increased odds of 2 or more instances of alcohol use, a 1.6–1.8 increased odds of 2 or more instances of marijuana use, a 1.8–2.5 increased odds of 2 or more instances of stimulant use, and a 4.1–6.1 increased odds of 2 or more instances of other substance use. Conclusion Findings highlight the strong association between IPV and increased frequency of substance use among YMSM and provide support that violence may exist as part of a syndemic facing YMSM. Prevention and intervention strategies may be improved by addressing substance use in the context of IPV and other related health challenges.