Results analysis of AIDS/Syphilis and high risk behaviors survey among men who have sex with men who use social APPs for dating in Yunnan Province
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摘要:
目的 了解男男性行为人群(men who have sex with men,MSM)主要交友程序使用情况,分析其人口学特征、性行为特点及艾滋病和梅毒感染状况,为开展针对性的干预措施提供依据。 方法 通过MSM社区组织发布信息招募MSM调查对象,使用统一的电子问卷进行面对面调查,并采集静脉血液进行艾滋病、梅毒的血清学检测。 结果 共调查4 651名MSM,按主要使用交友程序分为3组:Blued组2 160人(46.44%),微信组2 113人(45.43%),QQ组378人(8.13%)。本地居住时间<3月的比例最高为Blued组(6.9%),本地居住时间≥12月比例最高为微信组(92.1%),差异有统计学意义(χ2 =60.326, P < 0.001)。Blued组和微信组艾滋病防治知识知晓率、自我认同性取向为同性恋的比例均高于QQ组(均有P < 0.05)。Blued组最近6个月发生男男群交行为的比例最高(8.1%),其次是QQ组(6.9%)和微信组(5.3%)(χ2 =13.368,P=0.001)。Blued组、微信组和QQ组艾滋病检出率分别是2.2%、3.0%和3.4%,差异无统计学意义(χ2 =3.546,P=0.170)。Blued组、微信组和QQ组梅毒检出率分别是1.9%,3.7%和2.9%,三组间差异有统计学意义(χ2 =14.017, P=0.001)。 结论 MSM使用不同交友程序在行为学特征上的差异,使其在感染性病的风险上不同,应根据各自的特点,开展针对性的干预措施。 Abstract:Objective To learn which dating App is most popular among men who have sex with men (MSM), analyze their demography, sexual behavior characteristics, AcquiredImmune Deficiency Syndrome (AIDS) and syphilis infection status, and provide evidence for formulating targeted intervention strategies. Methods The recruitment information was released by the MSM community-based organization to recruit participants among MSM. A same electronic questionnaire was used for a face-to-face survey and venous blood was collected for serological test of AIDS and syphilis. Results A total of 4 651 participants were involved. Based on the App they used most frequently, participants were divided into three groups. 2 160 (46.44%) were in Blued group, 2 113 (45.43%) in Wechat group and 378 (8.13%) in QQ group. In Blued group, the proportion of participants whose local residence duration was less than 3 months was 6.9% and highest in three groups. In Wechat group, the proportion of participants whose local residence duration was more than 12 months was 92.1%and highest in three groups. The difference was significant (χ2 =60.326, P < 0.001). In Blued and Wechat group, the awareness rate of AIDS prevention knowledge and proportion of self identification as homosexual were higher than QQ group (P < 0.05). In Blued group, the proportions of participants who had group sex in the past six months were 8.1 % (highest), followed by QQ group (6.9%) and Wechat group (5.3%) (χ2 =13.368, P=0.001). The positive rates of AIDS were 2.2% in blued group, 3.0% in wechat group and 3.4% in QQ group. There is no significant difference among the three groups (χ2 =3.546, P=0.17). The positive rates of syphilis were 1.9% in Blued group, 3.7% in Wechat group and 2.9% in QQ group. There were significant differences among the three groups (χ2 =14.017, P=0.001). Conclusions MSM who uses different dating APP have different infection risks of sexual transmitted infection. The targeted intervention strategies should be provided for MSM based on different characteristics respectively. -
Key words:
- Men who have sex with men /
- Dating APP /
- AcquiredImmune deficiency syndrome /
- Syphilis
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表 1 不同交友程序MSM一般情况[n(%)]
Table 1. Compare the general situation of the different dating APP using of MSM [n(%)]
变量 Blued
(n=2 160)微信
(n=2 113)QQ
(n=378)χ2值 P值 年龄(岁) 19.509 0.003 < 20 78(3.6) 84(4.0) 2(6.9) 20~ 1 212(56.1) 1 221(57.8) 210(55.5) 30~ 568(26.3) 508(24.0) 108(28.6) ≥40 302(14.0) 300(14.2) 34(9.0) 婚姻状况 28.906 < 0.001 未婚 1 717(79.5) 1 629(77.1) 294(77.8) 已婚 336(15.6) 329(15.6) 44(11.6) 同居 39(1.8) 61(2.9) 21(5.6) 离异或丧偶 68(3.1) 94(4.4) 19(5.0) 民族 72.709 < 0.001 汉族 1 840(85.2) 1 586(75.1) 317(83.9) 其它 320(14.8) 527(24.9) 61(16.16) 在本地居住时间(月) 60.326 < 0.001 < 3 149(6.9) 63(3.0) 19(5.0) 3~ 180(8.3) 103(4.9) 32(8.5) ≥12 1 831(84.8) 1 947(92.1) 327(86.5) 文化程度 45.157 < 0.001 小学 56(2.6) 64(3.0) 11(2.9) 初中 274(12.7) 374(17.7) 42(11.1) 高中或中专 671(31.1) 731(34.6) 135(35.7) 大专及以上 1 159(53.6) 944(44.7) 190(50.3) 艾滋病防治知识知晓率 7.472 0.024 知晓 2 040(94.4) 2 012(95.2) 347(91.8) 否 120(5.6) 101(4.8) 31(8.2) 表 2 不同交友程序MSM艾滋病相关行为特征[n(%)]
Table 2. Characteristics of MSM AIDS related behaviors in different dating APP [n(%)]
变量 Blued
(n=2 160)微信
(n=2 113)QQ
(n=378)χ2值 P值 自我认同性取向 53.352 < 0.001 同性恋 1 441(66.7) 1 436(68.0) 204(54.0) 双性恋 564(26.1) 495(23.4) 121(32.0) 异性恋 47(2.2) 95(4.5) 23(6.1) 未确定 108(5.0) 87(4.1) 30(7.9) 首次男男性行为年龄(岁) 9.057 0.060 < 18 375(17.4) 435(20.6) 69(18.3) 18~ 1 499(69.4) 1 384(65.5) 261(69.0) ≥25 286(13.2) 294(13.9) 48(12.7) 最近6个月性角色a 123.39 < 0.001 只做“1” 648(30.0) 924(43.7) 125(33.1) 只做“0” 566(26.2) 570(27.0) 123(32.5) “1”和“0”均有 946(43.8) 619(29.3) 130(34.4) 最近6个月男性性伴数(人) 50.598 < 0.001 1 720(33.3) 855(40.4) 156(41.3) 2~ 1 211(56.1) 1 039(49.2) 157(41.5) 6~ 155(7.2) 137(6.5) 45(11.9) ≥10 74(3.4) 82(3.9) 20(5.3) 最近一次肛交行为使用安全套 1.454 0.483 是 1 898(87.9) 1 881(89.0) 336(88.9) 否 262(12.1) 232(11.0) 42(11.1) 最近6个月使用安全套频率 5.171 0.270 从未 39(1.8) 36(1.7) 11(2.9) 有时 539(25.0) 501(23.7) 102(27.0) 每次 1 582(73.2) 1 576(74.6) 265(70.1) 最近6个月有HIV阳性性伴侣 5.805 0.214 有 44(2.0) 57(2.7) 7(1.9) 没有 857(39.7) 777(36.8) 149(39.4) 不清楚性伴HIV状态 1 259(58.3) 1 279(60.5) 222(58.7) 最近6个月男男群交行为 13.368 0.001 否 1 985(91.9) 2 001(94.7) 352(93.1) 是 175(8.1) 112(5.3) 26(6.9) 最近6个月男男商业性行为 89.879 < 0.001 是 69(3.2) 93(4.4) 54(14.3) 否 2 091(96.8) 2 020(95.6) 324(85.7) 使用新型毒品/精神活性物质 8.772 0.012 是 211(9.8) 167(7.9) 22(5.8) 否 1 949(90.2) 1 946(92.1) 356(94.2) 最近1年性病史 0.264 0.876 是 52(2.4) 46(2.2) 9(2.4) 否 2 108(97.6) 2 067(97.8) 369(97.6) 最近1年接受艾滋病预防服务 34.571 < 0.001 是 1 563(72.4) 1 542(73.0) 221(58.5) 否 597(27.6) 571(27.0) 157(41.5) 最近1年进行过HIV检测 12.756 0.002 是 990(45.8) 966(45.7) 137(36.2) 否 1 170(54.2) 1 147(54.3) 241(63.8) 是否听说过暴露前预防用药 123.793 < 0.001 是 798(36.9) 455(21.5) 102(27.0) 否 1 362(63.1) 1 658(78.5) 276(73.0) 是否愿意服药b 24.999 < 0.001 是 685(85.8) 339(74.5) 84(82.4) 否 113(14.2) 116(25.5) 18(17.6) 是否听说过暴露后预防用药 141.393 < 0.001 是 1 107(51.3) 707(33.5) 144(38.1) 否 1 053(48.7) 1 406(66.5) 234(61.9) 注:a最近6个月性角色:“1”表示插入方,“0”表示被插入方;b是否愿意服药:仅询问听说过暴露前预防服药人员。 表 3 不同交友程序MSM艾滋病和梅毒检出率[n(%)]
Table 3. AIDS and syphilis infection rate of MSM in different dating APP [n(%)]
变量 Blued(n=2 160) 微信(n=2 113) QQ(n=378) χ2值 P值 n (%) 95% CI n (%) 95% CI n (%) 95% CI HIV 48(2.2) 1.6~2.8 64(3.0) 2.3~3.8 13(3.4) 1.6~5.3 3.546 0.170 梅毒 40(1.9) 1.3~2.4 79(3.7) 2.9~4.5 11(2.9) 1.2~4.6 14.017 0.001 HIV+梅毒 13(0.6) 0.3~0.9 15(0.7) 0.4~1.1 4(1.1) 0.0~2.1 1.008 0.604 -
[1] 张根福, 吴维.交往方式与择偶标准一项基于J市男同性恋者的实证研究[J].浙江师范大学学报(社会科学版), 2014, 6(39):67-74.Zhang GF, Wu W. Communication mode and mate selection standard-An empirical study on gay in J city[J]. Journal of Zhejiang Normal University (Social Sciences), 2014, 6(39):67-74. [2] Beymer MR, Weiss RE, Bolan RK, et al. Sex on-demand: geosocial networking phone APPs and risk of sexually transmitted infections among a cross-sectional sample of men who have sex with men in Los Angeles county[J]. Sex Transm Infect, 2014, 90(7):567-572. DOI: 10.1136/sextrans-2013-051494. [3] 罗莉, 曹琳, 胡荣, 等.男男HIV阳性病例网络交友工具特征分析[J].公共卫生与预防医学, 2017, 28(4):134-136.Luo L, Cao L, Hu R, et al. Analysis of the characteristics of Internet dating tools for MSM HIV positive cases[J]. J Pub Health and Prev Med, 2017, 28(4):134-136. [4] 杨诗凡, 李巨臣, 张嘉祺, 等.成都市学生男男性行为者基于交友软件寻找性伴侣现状及影响因素[J].中国艾滋病性病. 2018, 24(1):66-69. DOI: 10.13419/j.cnki.aids.2018.01.18.Yang SF, Li JC, Zhang JQ, et al. Present situation and influencing factors of university MSM students in search of sexual partner via MSM dating software in Chendu[J]. Chin J AIDS STD, 2018, 24(1):66-69. DOI: 10.13419/j.cnki.aids.2018.01.18. [5] 余蔷.男男同性恋人群行为因素与HIV感染率调查分析[J].医学理论与实践, 2019, 32(24):4080-4082. DOI: 10.19381/j.issn.1001-7585.2019.24.081.Yu Q. Analysis of the relationship between HIV infection rate and behavior factors in MSM[J]. The J Med Theory Pract, 2019, 32(24):4080-4082. DOI: 10.19381/j.issn.1001-7585.2019.24.081. [6] 周宗磊, 詹志强, 孙群露, 等. 2018年深圳市宝安区358名男男性行为者HIV/TP感染情况及影响因素分析[J].预防医学情报杂志, 2019, 35(12):1435-1440.Zhou ZL, Zhan ZQ, Sun QL, et al. Prevalence of HIV/TP infection and related factors among 358 men who have sex with men in Baoan district of Shenzhen City in 2018[J]. J Prev Med Inf, 2019, 35(12):1435-1440. [7] 王毅, 李六林, 樊静, 等. 2019年绵阳市男男性行为者艾滋病哨点监测结果及其HIV感染影响因素分析[J].寄生虫病与感染性疾病, 2019, 17(4):189-194.Wang Y, Li LL, Fan J, et al. Sentinel surveillance of AIDS and influencing factors of HIV infection among men who have sex with men in Mianyang City in 2019[J]. Parasitoses and Infectious Diseases, 2019, 17(4):189-194. [8] 张海波, William WA, 赵锦. MSM交友应用程序的发展及对MSM危险性行为的影响[J].中国艾滋病性病, 2015, 21(10):912-915. DOI: 10.13419/j.cnki.aids.2015.10.29.Zhang HB, William WA, Zhao J. The development of the gay App and its impact on sexual risk behavior among the men who have sex with men[J]. Chin J AIDS STD, 2015, 21(10):912-915. DOI: 10.13419/j.cnki.aids.2015.10.29. [9] 查旭东, 王雯雯.网络社交软件对男男同性性行为人群HIV传播的影响[J].中华男科学杂志, 2019, 25(4):360-364. DOI: 10.13263/j.cnki.nja.2019.04013.Cha XD, Wang WW. Influence of online social software on HIV transmission among men who have sex with men[J]. National Journal of Andrology, 2019, 25(4):360-364. DOI: 10.13263/j.cnki.nja.2019.04013. [10] Huang ET, Williams H, Hocking JS, et al. Safe sex messages within dating and entertainment smartphone APPs: a review[J]. JMIR Mhealth Uhealth, 2016, 4(4):e124. DOI: 10.2196/mhealth.5760. [11] L'Engle KL, Green K, Succop SM, et al. Scaled-up mobile phone intervention for HIV care and treatment: protocol for a facility randomized controlled trial[J]. JMIR Res Protoc, 2015, 4(1):e11. DOI: 10.2196/resprot.3659.