Online socializing among men who have sex with men and transgender people in Nairobi and Johannesburg and implications for public health-related research and health promotion: an analysis of qualitative and respondent-driven sampling survey data.
Online socializing among men who have sex with men and transgender people in Nairobi and Johannesburg and implications for public health-related research and health promotion: an analysis of qualitative and respondent-driven sampling survey data.
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DOI：
10.1002/jia2.25603
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发表时间：
2020-10
影响因子：
6
通讯作者：
Smith AD
中科院分区：
文献类型：
--
作者：
Fearon E;Bourne A;Tenza S;Palanee-Phillips T;Kabuti R;Weatherburn P;Nutland W;Kimani J;Smith AD
在撒哈拉以南非洲，尽管压制性的社会和/或刑事化的环境限制了艾滋病毒的身体预防，但关于同性恋、双性恋和其他男男性行为者以及变性人（MSM和TG）使用社交媒体的文献很少。我们试图描述内罗毕和约翰内斯堡MSM和TG的在线社交，确定在线社交和非在线社交的特征，以便为在线环境中研究和健康促进的发展提供信息。2017年在内罗毕（n = 618）和约翰内斯堡（n = 301）对报告当前男性性别认同或出生时男性生理性别以及过去12个月内与男性发生性关系的人进行了受访者驱动的抽样调查。收集了在线社交模式、社会人口统计学、性行为和艾滋病毒检测数据。我们使用逻辑回归分析了社交媒体使用与所有人的社会人口统计学特征和性行为之间的关系，并且仅针对那些未感染艾滋病毒的人。分析采用RDS‐II加权。在每个城市对MSM和TG进行了30次定性访谈，调查了社交媒体使用的更广泛背景和动机。大多数男同性恋者和男同性恋者在上个月使用社交媒体与男同性恋者进行社交（约翰内斯堡60%，内罗毕71%），主要使用通用平台（如Facebook），但也有针对同性恋的平台（如Grindr）。未感染艾滋病毒的男男性接触者和报告近期危险性行为的TG增加了内罗毕使用社交媒体的几率，包括接受性肛交（调整后的OR = 2.15, p = 0.006）、性交易（aOR = 2.24, p = 0.015）和与男性发生性交易（aOR = 2.17, p = 0.004）。尽管网络社交与无套肛交（aOR = 3.67, p = 0.003）和活动性梅毒（aOR = 13.50, p = 0.016）相关，但在约翰内斯堡，这些关联的证据较弱。定性研究结果表明，尽管在线社交可以限制面对面互动中固有的伤害风险，但也引入了新的挑战，包括情境崩溃和对勒索的恐惧。这些城市的大多数MSM和TG经常在网上社交。用户报告了感染艾滋病毒的风险行为，但这一空间并未充分用于性健康促进和研究参与。现在应该探索有效、安全和可接受的利用在线渠道与男同性恋者/男同性恋者接触的方法，这些方法说明了男同性恋者和男同性恋者在管理在线安全方面的战略和关注点，作为现有外媒的补充或替代。
There is little published literature about gay, bisexual and other men who have sex with men and transgender individuals (MSM and TG)’s use of social media in sub‐Saharan Africa, despite repressive social and/or criminalizing contexts that limit access to physical HIV prevention. We sought to describe MSM and TG’s online socializing in Nairobi and Johannesburg, identifying the characteristics of those socializing online and those not, in order to inform the development of research and health promotion in online environments. Respondent‐driven sampling surveys were conducted in 2017 in Nairobi (n = 618) and Johannesburg (n = 301) with those reporting current male gender identity or male sex assigned at birth and sex with a man in the last 12 months. Online socializing patterns, sociodemographic, sexual behaviour and HIV‐testing data were collected. We examined associations between social media use and sociodemographic characteristics and sexual behaviours among all, and only those HIV‐uninfected, using logistic regression. Analyses were RDS‐II weighted. Thirty qualitative interviews were conducted with MSM and TG in each city, which examined the broader context of and motivations for social media use. Most MSM and TG had used social media to socialize with MSM in the last month (60% Johannesburg, 71% Nairobi), mostly using generic platforms (e.g. Facebook), but also gay‐specific (e.g. Grindr). HIV‐uninfected MSM and TG reporting riskier recent sexual behaviours had raised odds of social media use in Nairobi, including receptive anal intercourse (adjusted OR = 2.15, p = 0.006), buying (aOR = 2.24, p = 0.015) and selling sex with men (aOR = 2.17, p = 0.004). Evidence for these associations was weaker in Johannesburg, though socializing online was associated with condomless anal intercourse (aOR = 3.67, p = 0.003) and active syphilis (aOR = 13.50, p = 0.016). Qualitative findings indicated that while online socializing can limit risk of harm inherent in face‐to‐face interactions, novel challenges were introduced, including context collapse and a fear of blackmail. Most MSM and TG in these cities socialize online regularly. Users reported HIV acquisition risk behaviours, yet this space is not fully utilized for sexual health promotion and research engagement. Effective, safe and acceptable means of using online channels to engage with MSM/TG that account for MSM and TG’s strategies and concerns for managing online security should now be explored, as complements or alternatives to existing outreach.
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影响因子：
7.4
作者：
Cao B;Gupta S;Wang J;Hightow-Weidman LB;Muessig KE;Tang W;Pan S;Pendse R;Tucker JD
通讯作者：
Tucker JD
DOI：
10.1097/qai.0000000000001404
发表时间：
2017-07-01
期刊：
Journal of acquired immune deficiency syndromes (1999)
影响因子：
--
作者：
Paz-Bailey G;Hoots BE;Xia M;Finlayson T;Prejean J;Purcell DW;NHBS Study Group
通讯作者：
NHBS Study Group
影响因子：
7.4
作者：
Cao B;Liu C;Durvasula M;Tang W;Pan S;Saffer AJ;Wei C;Tucker JD
通讯作者：
Tucker JD
影响因子：
8.5
作者：
Baral S;Turner RM;Lyons CE;Howell S;Honermann B;Garner A;Hess R III;Diouf D;Ayala G;Sullivan PS;Millett G
通讯作者：
Millett G
影响因子：
1.7
作者：
Daniels J;Struthers H;Lane T;Maleke K;McIntyre J;Coates T
通讯作者：
Coates T