目的 利用社会网络分析方法,结合流行病学特征分析男男性行为人群(MSM)个体中心社会网络特征与HIV流行的关系.方法 于2016年11月至2017年6月采用方便抽样方法,招募点覆盖广州市13个艾滋病自愿咨询检测门诊,对前来参加艾滋病相关知识咨询以及HIV初筛的MSM进行个体社会网络问卷调查,采用提名生成法和提名诠释法采集数据.问卷包含两个部分,一部分是针对社会连带强弱问题,另一部分是针对调查对象以及被提名者社会人口学及行为特征问题.共获得1 073份有效问卷.采用多因素logistic回归模型分析个体中心社会网络特征与HIV流行的关联.结果 1 073名受访者HIV阳性检出率为8.67%(93例),共提名4 301名同伴.相比性关系网络大小为1~2的MSM,性关系网络≥3的MSM感染HIV的OR(95%CI)值为1.68(1.07~2.65);相比危险性关系网络大小为1~2的受访者,危险性关系网络≥3的MSM感染HIV的OR(95%CI)值为1.87(1.06~3.31).受访者性伴圈婚姻状态相似性、性伴圈关系类型与HIV流行关联无统计学意义(P>0.05).结论 MSM个人所在的社会网络成员组成与其是否容易感染HIV有关,拥有较大性关系网络的MSM人群较易感染HIV.
Objective This study aimed to analyze the association between the characteristics of egocentric network and HIV prevalence among men who have sex with men (MSM) through social network analysis. Methods The study was conducted in Guangzhou city from November 2016 to June 2017 using convenient sampling method. Participants were recruited from 13 voluntary counseling and testing (VCT) locations. Data were collected by using nomination generation and nomination interpretation methods. Questionnaire includes two parts, the first part about the social tie, and the second one about social demography and behavioral characteristics of respondents and their nominees. The multivariate logistic regression was applied to quantify the association. Results 8.67%(93/1 073) HIV antibody positive MSM had been detected in 1 073 respondents who nominated 4 301 partners in total. Compared to egocentric sexual network with a size of 1-2, the size of sexual network larger than 3 ( OR=1.68, 95%CI : 1.07-2.65) were associated with HIV infection. Compared to egocentric risk sexual network with a size of 1-2, the size of risk sexual networks larger than 3 (OR=1.87, 95%CI: 1.06-3.31) were associated with HIV infection. There were no significant association between marital similarity of respondents and their nominees, the type of the relationship of sexual partners and HIV prevalence (P>0.05). Conclusion The composition of social network in MSM is related to their susceptibility of HIV infection. MSM population with a large sexual network is more susceptible to HIV infection.