Saw Swee Hock School of Public Health, National University of Singapore and National University Health System, Singapore, Singapore.
National Centre for Infectious Diseases, Singapore, Singapore.
Cult Health Sex. 2020 Mar;22(3):307-320. doi: 10.1080/13691058.2019.1596313. Epub 2019 Apr 12.
Gay, bisexual and queer men in Singapore are disproportionately represented in prevalent HIV infections, relative to the general population. While anticipated stigma has been found to be a barrier to HIV/STI testing among gay, bisexual and queer men, little effort has been made to contextualise such stigma within the broader sociocultural milieu. We conducted 35 in-depth interviews with a purposively recruited sample of men in Singapore with a focus on topics such as sexual identity development, formative sexual experiences and HIV/STI testing experience. Interviews were analysed through thematic analysis using techniques borrowed from a grounded theory approach. Participants drew on their past interactions with family, friends, religion, the gay, bisexual and queer men's community and the wider society to construct meanings of deviance in the context of their sexuality. Participants articulated how anticipated stigma was rooted in such deviance, and how clinics or other HIV/STI-related health services served as physical spaces of costly disclosure by exposing or imposing 'deviant' identities on individuals who access these physical spaces, which were otherwise concealed. Findings from the study provide a framework for actions and interventions to address the roots of anticipated stigma in the context of HIV/STI testing among gay, bisexual and queer men.
新加坡的男同性恋、双性恋和酷儿群体在 HIV 感染率方面的比例明显高于普通人群。虽然预期的污名将男同性恋、双性恋和酷儿群体的 HIV/性传播感染检测视为障碍,但很少有努力将这种污名置于更广泛的社会文化背景下进行分析。我们对新加坡的一群有针对性招募的男性进行了 35 次深入访谈,重点关注性身份发展、形成性经历和 HIV/性传播感染检测经验等主题。访谈通过从扎根理论方法中借鉴的主题分析技术进行分析。参与者利用他们过去与家庭、朋友、宗教、男同性恋、双性恋和酷儿群体以及更广泛的社会的互动,构建了他们性行为背景下的偏差意义。参与者阐明了预期的污名是如何根植于这种偏差的,以及诊所或其他与 HIV/性传播感染相关的卫生服务如何通过暴露或强加“偏差”身份来成为昂贵披露的物理空间,而这些身份在其他情况下是隐藏的。该研究的结果为解决男同性恋、双性恋和酷儿群体 HIV/性传播感染检测中预期污名的根源提供了一个框架,以便采取行动和干预措施。