| 陈琳,陈婉君,姜婷婷,倪志侃,潘晓红.浙江省男男性行为人群网络临时性伴的知情交友状况分析[J].中华流行病学杂志,2022,43(11):1784-1788 |
| 浙江省男男性行为人群网络临时性伴的知情交友状况分析 |
| Status of personal information sharing on HIV between sexual partners among men who have sex with men who met casual sexual partners on the internet in Zhejiang province |
| 收稿日期:2021-10-15 出版日期:2022-11-22 |
| DOI：10.3760/cma.j.cn112338-20211015-00797 |
| 中文关键词: 艾滋病病毒 男男性行为人群 临时性伴 危险因素 网络 |
| 英文关键词: HIV Men who have sex with men Casual sexual partners Risk factors Internet |
| 基金项目:国家科技重大专项（2017ZX10201101） |
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| 中文摘要: |
| 目的 分析浙江省MSM网络临时性伴的HIV感染状况知情交友（知情交友）状况及相关因素，为干预措施制定提供参考依据。方法 2018年6-12月在杭州市、宁波市、温州市、台州市和绍兴市，由社会组织和自愿咨询与检测门诊招募符合研究对象标准的MSM，招募样本量为793人。采用自行设计问卷，采用面对面方式问卷调查，收集社会人口学特征、艾滋病知识、性行为、知情交友行为等信息。采用SPSS 20.0软件进行统计学分析。结果 在MSM 767人中，最近6个月发生网络临时性行为302人，发生网络型临时性行为、网络/场所混合型临时性行为者分别占62.6%（189/302）和37.4%（113/302）。在网络临时性伴的知情交友中，已告知、已询问和已知晓者分别占54.6%（165/302）、49.2%（146/297）和42.9%（82/191），知晓网络临时性伴HIV阴性状况后坚持使用安全套者占75.8%（113/149）。多因素logistic回归分析结果显示，最近6个月网络临时性伴的知情交友中未询问的相关因素包括年龄25~34岁（aOR=2.17，95%CI：1.20~3.91）、最近6个月网络临时性伴数>2个（aOR=2.13，95%CI：1.27~3.57）、不认为网络临时性伴HIV感染风险较高（aOR=1.96，95%CI：1.14~3.35）、既往HIV检测数>1次（aOR=0.38，95%CI：0.22~0.66）。结论 浙江省MSM网络临时性伴的知情交友的意愿较高，但知情交友行为及知晓对方HIV检测结果的比例较低，针对MSM的网络临时性伴较多、认为网络临时性伴感染风险低和HIV检测次数较少者，需加强健康教育和促进知情交友的行为干预。 |
| 英文摘要: |
| Objective To identify the status and determinants of sharing personal HIV information with sexual partners among men who have sex with men (MSM) meeting their casual sexual partners on the internet. Methods A cross-sectional study was conducted in five cities (Hangzhou, Ningbo, Wenzhou, Taizhou and Shaoxing) in Zhejiang province. The recruitment was enrolled by MSM social organization and in voluntary counseling and testing clinics, with a sample size of 793. A self-designed network questionnaire collected essential characteristics, HIV knowledge, sexual behavior, and sharing personal HIV status. SPSS 20.0 software was used for statistical analysis. Results Among 767 MSM enrolled 302 MSM who reported finding casual sexual partners on the internet were enrolled in the analysis. MSM reported finding casual partners on the internet only, finding sexual partners online and in places were 62.6% (189/302) and 37.4% (113/302), respectively. Among those reporting web-based sexual behavior in the last six months, 54.6% (165/302) informed their partners of their HIV status, 49.2% (146/297) inquired about HIV status, and 42.9% (82/191) knew HIV status before sex intercourse, 75.8% (113/149) reported consistent condom use with HIV negative partners. The multivariable logistic regression analysis showed that related factors of inconsistent inquired HIV status of partners included 25-34 years old (aOR=2.17, 95%CI:1.20-3.91), >2 partners on the internet in the last six months (aOR=2.13, 95%CI:1.27-3.57), low-risk perception of HIV infection with online partners (aOR=1.96, 95%CI:1.14-3.35), numbers of HIV testing >1 times (aOR=0.38, 95%CI:0.22-0.66). Conclusions The willingness to know the HIV status of partners among MSM who met sexual partners on the internet was high but with a low rate of knowing their sex partner's HIV status in Zhejiang province. However, the successful implementation proportion was low. Therefore, it is necessary to pay attention to people who are elderly, with less conscience about the risk of the sex partners on the internet, have more sex partners, and have received few HIV tests. In addition, peer education was needed to promote related intervention programs. |
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