School of Nursing of Ribeirão Preto, 28133Universidade de São Paulo, São Paulo, Brazil.
Global Health and Tropical Medicine, GHTM, 70907Instituto de Higiene e Medicina Tropical, IHMT, Universidade Nova de Lisboa, UNL, Lisbon, Portugal.
Int J STD AIDS. 2021 Mar;32(4):368-377. doi: 10.1177/0956462420968994. Epub 2021 Feb 3.
This study aimed to evaluate unprotected receptive anal sex intercourse (URAI) rates and vulnerabilities to HIV infection among men who have sex with men (MSM) that use geosocial networking dating apps in Brazil. An online, analytical, cross-sectional study was carried out with 2,250 MSM. The analyzed variables were grouped according to domains of vulnerability and analyzed by bi and multivariate statistics to calculate the Adjusted Odds Ratios (aOR). The prevalence of self-reported HIV was 7.1%; and of URAI, 23.4%. The studied variables that increased the chances of engaging in URAI were: identifying as homosexual (aOR = 8.30; 95%CI = 5.68:12.04), pansexual aOR = 5.01; 95%CI 2.04:12.38), or bisexual (aOR = 3.14; 95%CI = 2.03:4.80), using apps for obtaining sex (aOR = 1.3; 95%CI = 1.0:1.5), engaging in group sex (aOR = 1.6; 95%CI = 1.3:2.0), and reporting chemsex (aOR = 1.5; 95%CI = 1.1:2.0). Self-reported positive HIV status was associated with: less than a minimum wage income (aOR = 1.78; 95%CI = 1.22:2.58), lower education (aOR = 1.86; 95%CI = 1.31 CI; 2,64), not knowing the partner's HIV status (aOR = 1.84; 95%CI = 1.06:3.19), practicing group sex (aOR = 1.67; 95%CI = 1.04; 2.68), and chemsex (aOR = 2.03; 95%CI =1.06:3.19). The applications interaction is shaped by their own users to better meet their desires and needs. However, this behavior exposes individuals to HIV vulnerabilities.
本研究旨在评估在巴西使用基于地理位置的社交网络约会应用程序的男男性行为者(MSM)中非保护型接受性肛交(URAI)的发生率和 HIV 感染的易感性。对 2250 名 MSM 进行了一项在线、分析性、横断面研究。分析的变量根据易感性领域进行分组,并通过双变量和多变量统计进行分析,以计算调整后的优势比(aOR)。自我报告的 HIV 患病率为 7.1%;URAI 的患病率为 23.4%。增加 URAI 机会的研究变量是:同性恋认同(aOR=8.30;95%CI=5.68:12.04)、泛性恋认同(aOR=5.01;95%CI=2.04:12.38)或双性恋认同(aOR=3.14;95%CI=2.03:4.80)、使用获取性服务的应用程序(aOR=1.3;95%CI=1.0:1.5)、参与群交(aOR=1.6;95%CI=1.3:2.0)和报告药物滥用性行为(aOR=1.5;95%CI=1.1:2.0)。自我报告的 HIV 阳性与以下因素相关:收入低于最低工资(aOR=1.78;95%CI=1.22:2.58)、教育程度较低(aOR=1.86;95%CI=1.31:2.64)、不知道伴侣的 HIV 状况(aOR=1.84;95%CI=1.06:3.19)、参与群交(aOR=1.67;95%CI=1.04:2.68)和药物滥用性行为(aOR=2.03;95%CI=1.06:3.19)。应用程序的交互作用是由其用户自身塑造的,以更好地满足他们的欲望和需求。然而,这种行为使个人面临 HIV 感染的脆弱性。