Measuring structural HIV stigma

IF 2.9 2区 社会学 Q1 ANTHROPOLOGY Social Networks Pub Date : 2023-07-01 DOI:10.1016/j.socnet.2023.04.001
Francis Lee , Carter T. Butts , John A. Schneider
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Abstract

Despite the progress in pharmaceutical and epidemiological tools for combating HIV spread, HIV stigma remains a significant social barrier impeding treatment and prevention efforts, potentially reducing the effectiveness of interventions to reduce HIV transmission. In this paper, we propose a novel approach to defining and estimating HIV stigmatization through the structure of sexual relations, as opposed to attitudes. We conceptualize structural stigma as arising from two mechanisms: (1) a reduced propensity towards HIV serodiscordant partnerships (exclusion); and (2) a reduced propensity towards partnerships with seroconcordant individuals who themselves have serodiscordant partnerships (ostracism). Both mechanisms can be assessed from observed partnership network data using exponential family random graph models (ERGMs). We demonstrate our approach on a sexual contact network of black men who have sex with men in the South Side of Chicago. We find a tendency for serodiscordant sexual relationships to be suppressed in the network (θ = −0.69, p < .05), as well as a suppressive tendency for HIV negative YBMSM to have sex with other HIV negative people in serodiscordant relationships (θ = −0.96, p < .05) suggesting that structural HIV stigma is present in this network. Potential relationships with attitudinal stigma and implications for epidemiological strategies for reducing HIV stigma are discussed.

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测量结构性HIV病耻感
尽管在遏制艾滋病毒传播的药物和流行病学工具方面取得了进展,但艾滋病毒污名化仍然是阻碍治疗和预防工作的一个重大社会障碍,可能会降低减少艾滋病毒传播的干预措施的有效性。在这篇论文中,我们提出了一种新的方法,通过性关系的结构来定义和估计艾滋病毒污名化,而不是态度。我们将结构性污名概念化为由两种机制引起:(1)对艾滋病毒血清不一致伙伴关系的倾向减少(排斥);以及(2)与自身具有血清不一致伙伴关系的血清一致个体建立伙伴关系的倾向降低(排斥)。这两种机制都可以使用指数族随机图模型(ERGM)从观察到的伙伴关系网络数据中进行评估。我们在芝加哥南区与男性发生性关系的黑人男性性接触网络上展示了我们的方法。我们发现,血清不一致性关系在网络中有被抑制的趋势(θ=-0.69,p<;.05),HIV阴性的YBMSM在血清不一致关系中与其他HIV阴性的人发生性关系的抑制趋势(θ=-0.96,p<;.05)表明该网络中存在结构性HIV污名。讨论了与态度污名的潜在关系以及对减少艾滋病毒污名的流行病学战略的影响。
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来源期刊
Social Networks
Social Networks Multiple-
CiteScore
5.90
自引率
12.90%
发文量
118
期刊介绍: Social Networks is an interdisciplinary and international quarterly. It provides a common forum for representatives of anthropology, sociology, history, social psychology, political science, human geography, biology, economics, communications science and other disciplines who share an interest in the study of the empirical structure of social relations and associations that may be expressed in network form. It publishes both theoretical and substantive papers. Critical reviews of major theoretical or methodological approaches using the notion of networks in the analysis of social behaviour are also included, as are reviews of recent books dealing with social networks and social structure.
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