The development and validation of a novel paradigm for assessing sexual assault risk perception in MSM

一种新的评估范式的开发和验证 男男性接触者中的性暴力风险认知！ 好了！ 性暴力(SV)是性少数群体的一个重大问题，包括与男性发生性关系的男子。 (MSM)。这一领域有限的研究表明，SV与一系列共同性疾病有关，例如 酒精和毒品的使用，精神健康问题，以及性危险行为。这些因素往往聚集在一起，并 相互作用会使其他每一种情况恶化。不幸的是，虽然已经进行了大量的工作来 检查异性恋女性的这些因素，缺乏对MSM的研究，特别是她们的能力 以察觉潜在的SV风险。此外，男男性接触者是约会和性爱网络(DSN)的活跃用户 应用程序，这项技术已经证明了为MSM创造安全空间以满足和 让性伴侣和浪漫伴侣参与进来。然而，有越来越多的数据表明，DSN应用程序的使用 与SV风险增加有关，特别是考虑到使用酒精和其他药物的可能性更高 在做爱之前。另一方面，一些研究人员已经证明了DSN技术可以被利用 作为艾滋病毒的预防工具；不幸的是，关于艾滋病的这类工作没有取得任何进展。因此， 目前的项目将使用定性和定量的方法来定制现有的SV风险的实验室模拟 女性对男男性接触者的认知。这一范例将接受严格的验证研究，以 确认其在预测SV风险方面的有效性，并有可能在未来的预防工作中使用 包括酒精管理协议。在该项目的第一年，一名计算机科学家将创建 最初的DSN应用程序(“G-Date”)，并纳入有关可用性、可行性和现实性的持续反馈 这一研究工具来自具有代表性的男男性接触者样本。嵌入范例中的初始风险提示将 包括个人和关系层面实施性暴力的风险因素，包括：酗酒/吸毒， 与男子气概有关的因素，以及少数群体压力，包括内在化的同性恋恐惧症。在第二次和第三次 多年的项目，MSM将进行一项实验研究，以确定内容、并发和 这一新的实验室范式的预测有效性。简而言之，我们将评估SV的某些相关性 (例如，性传播疾病病史、酒精和药物使用)会影响男男性行为者在G-DATE内发现性传播疾病风险的能力 在“现实世界”中。希望G-Date不仅有助于理解各种因素 与SV风险相关，但也是创建工具以加强对此的预防努力的有用步骤 易感人群。鉴于R15机制的目标，学生RAS将在所有 参与者招募、焦点小组开发和交付、范式开发和实验 评价，以及提出和公布调查结果。RAS将接受专家的指导 SV、酒精、性少数群体健康、软件工程和定性/定量研究方法，这些 将为他们在各自领域的职业生涯做好准备。

The development and validation of a novel paradigm for assessing sexual violence risk perception in MSM! ! Sexual violence (SV) is a significant problem for sexual minorities, including men who have sex with men (MSM). The limited research in this area suggests SV is associated with a host of syndemic conditions such as alcohol and drug use, mental health issues, and sexual risk behaviors. These factors tend to cluster and interact to worsen each of the other conditions. Unfortunately, while much work has been conducted to examine these factors in heterosexual women, there is lack of research examining MSM, especially their ability to perceive the potential for SV risk. Further, MSM are active users of dating and sexual network (DSN) applications and this technology has demonstrated usefulness for creating safe spaces for MSM to meet and engage sexual and romantic partners. However, there is mounting data demonstrating that DSN app use is associated with increased risk for SV, especially given the higher likelihood of using alcohol and other drugs before sex. On the other hand, some researchers have demonstrated that DSN technology can be harnessed as a prevention tool for HIV; unfortunately, no such work has progressed with regard to SV. As such, the current project will use qualitative and quantitative methods to tailor an existing laboratory analogue of SV risk perception in women to be used with MSM. This paradigm will be subjected to a rigorous validation study to confirm its usefulness in predicting risk for SV, with the potential for use in future prevention endeavors, including alcohol administration protocols. During the first year of the project, a computer scientist will create the initial DSN app (“G-Date”) and incorporate ongoing feedback about the usability, feasibility, and realism of this research tool from a representative sample of MSM. The initial risk cues embedded in the paradigm will include individual and relationship-level risk factors for SV perpetration that include: Alcohol/drug use, masculinity-related factors, and minority stress, including internalized homophobia. During the second and third years of the project, MSM will engage an experimental study to determine the content, concurrent, and predictive validity of this novel laboratory paradigm. In short, we will evaluate whether certain correlates of SV (e.g., history of SV, alcohol and drug use) affect the ability of MSM to detect risk for SV within the G-Date paradigm and in the “real world.” It is hoped that G-Date will not only assist the understanding of factors associated with SV risk, but also serve as a useful step in creating tools to enhance prevention efforts in this susceptible population. Given the goals of the R15 mechanism, student RAs will play an active role in all participant recruitment, focus group development and delivery, paradigm development, and experimental evaluation, as well as presentation and publication of the findings. RAs will receive mentoring from experts in SV, alcohol, sexual minority health, software engineering, and qualitative/quantitative research methods, which will prepare them for careers in in their respective fields.