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社交网络对马里兰州巴尔的摩市黑人性少数男性梅毒检测的影响:一项横断面社交网络分析

Social Network Influence on Syphilis Testing for Black Sexual Minority Men in Baltimore, Maryland: A Cross-sectional Social Network Analysis.

作者信息

Heidari Omeid, Tobin Karin E, Pollock Sarah, Li Fang-Ying, Webel Allison R, Duncan Dustin T, Latkin Carl

机构信息

Omeid Heidari * , PhD, MPH, ANP-C, is an Assistant Professor, University of Washington, School of Nursing, Department of Child, Family, and Population Health Nursing, Seattle, Washington, USA.

Karin E. Tobin, PhD, is an Associate Professor, Johns Hopkins University, Bloomberg School of Public Health, Department of Health Behavior and Society, Baltimore, Maryland, USA.

出版信息

J Assoc Nurses AIDS Care. 2023;34(1):5-14. doi: 10.1097/JNC.0000000000000380.

DOI:10.1097/JNC.0000000000000380
PMID:36656090
Abstract

Black sexual minority men (BSMM), including those with HIV, have disproportionate rates of syphilis infection. This study examines the associations of social network characteristics on syphilis testing, given that social network approaches are well established as effective methods to establish health-promoting social norms. We analyzed baseline data from a sexual health behavioral intervention. Using multivariable logistic regression, we modeled individual and social network characteristics on syphilis testing. Of the 256 participants, 37% tested for syphilis in the past year. In the adjusted model controlling for individual factors, odds of syphilis testing increased 89% for each increase in network member participants being encouraged to get a syphilis test (95% confidence interval [1.19-3.00]). Feeling comfortable accompanying a friend for HIV/sexually transmitted infection testing was associated with 2.47 increased odds of syphilis testing. Encouraging and training individuals to discuss sexual health topics with their network members may lead to the establishment of testing in social networks of Black sexual minority men.

摘要

包括感染艾滋病毒者在内的黑人性少数群体男性(BSMM)梅毒感染率过高。鉴于社交网络方法已被确认为建立促进健康的社会规范的有效方法,本研究探讨了社交网络特征与梅毒检测之间的关联。我们分析了一项性健康行为干预的基线数据。使用多变量逻辑回归,我们对梅毒检测的个体和社交网络特征进行了建模。在256名参与者中,37%在过去一年中进行了梅毒检测。在控制个体因素的调整模型中,每增加一名被鼓励进行梅毒检测的网络成员,梅毒检测的几率就增加89%(95%置信区间[1.19 - 3.00])。陪同朋友进行艾滋病毒/性传播感染检测时感到自在与梅毒检测几率增加2.47倍相关。鼓励和培训个体与他们的网络成员讨论性健康话题可能会促使黑人性少数群体男性的社交网络中开展检测。

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