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目的了解中山市男男性行为人群(MSM)不同性角色的艾滋病感染及其相关行为的差异,为下一步开展针对性干预工作提供参考。方法利用志愿者组织采用滚雪球抽样法招募MSM,问卷调查人口学、行为学等信息并进行HIV血清学检测,用SPSS17.0进行统计分析。结果共调查MSM 685人。根据最近半年发生肛交时的性角色分为5组,主动插入方(1号);通常为主动插入方,偶尔为被动接受方(0.75号);一半为插入方,一半为接受方(0.5号);通常为被动接受方,偶尔为插入方(0.25号);被动接受方(0号)。1号组137人(占20.07%)、0.75号组165人(占24.1%)、0.5号组191人(占27.9%)、0.25号组122人(占17.8%)、0号组70人(占10.2%),其HIV阳性率分别为10.2%(14/137)、13.3%(22/165)、14.1%(27/191)、23.8%(29/122)、17.1%(12/70),差异有统计学意义(χ~2=10.418,P=0.034)。5组人群在年龄、婚姻状况、文化程度、性取向自我判定的差异有统计学意义(P<0.05)。最近半年发生同性肛交时安全套使用情况5组间的差异有统计学意义(χ~2=16.993,P=0.03),0号组每次使用比例(36.5%,23/63)最低;1号组每次使用比例(49.2%,65/132)最高。多因素Logistic回归分析,与1号组相比,0.75号、0.5号、0.25号和0号组感染HIV的风险分别是1号组的1.36倍(95%CI:0.63~2.92)、1.55倍(95%CI:0.74~3.24)、2.84倍(95%CI:1.33~6.02)、2.35倍(95%CI:0.96~5.77)。结论不同性角色MSM在人口学、行为特征上存在差异,导致其感染HIV的风险不同,应根据其特点上的差异,开展有针对性的干预措施。
Objective To understand the difference of HIV / AIDS infection and its related behavior in different sexual roles of MSM in Zhongshan and to provide reference for the targeted intervention in the next step. Methods Volunteer organizations used the snowball sampling method to recruit MSM, questionnaire survey demography, behavior and other information and HIV serology, using SPSS17.0 for statistical analysis. Results A total of 685 MSM were investigated. According to the sexual roles of the anal sex during the last six months, they are divided into 5 groups and they are actively inserted into the square (No. 1); they are usually the active insertion party, occasionally the passive recipient (0.75); half are the insertion parties and half are the recipients ); Usually passive recipients, occasionally inserters (0.25); passive recipients (0). 137 in number 1 (20.07%), 165 in number 0.75 (24.1%), 191 in number 0.5 (27.9%), 122 in number 0.25 (17.8%), 70 in number 0 Accounting for 10.2%). The HIV positive rates were 10.2% (14/137), 13.3% (22/165), 14.1% (27/191), 23.8% (29/122), 17.1% (12/70) , The difference was statistically significant (χ ~ 2 = 10.418, P = 0.034). There were significant differences in self-judgment of age, marital status, educational level and sexual orientation between the five groups (P <0.05). There was a significant difference in the use of condoms among homosexual anal intercourse in the last six months (χ ~ 2 = 16.993, P = 0.03), and the lowest use rate in group 0 (36.5%, 23/63) Each use ratio (49.2%, 65/132) the highest. Multivariate Logistic regression analysis showed that the risk of HIV infection in group 0.75, 0.5, 0.25 and 0 were 1.36 times (95% CI: 0.63 to 2.92) and 1.55 times 95% CI: 0.74 ~ 3.24), 2.84-fold (95% CI: 1.33-6.02) and 2.35-fold (95% CI: 0.96-5.77). Conclusion Different MSMs have different demographic and behavioral characteristics, which lead to different risk of HIV infection. According to their different characteristics, MSM should carry out targeted interventions.