目的 分析2016-2021年河北省男男性行为人群(men who have sex with men,MSM)人类免疫缺陷病毒(human immunodeficiency virus,HIV)感染情况以及影响因素.方法 利用2016-2021年河北省MSM哨点监测数据,采用x2检验和logistic回归模型对HIV感染情况及影响因素进行分析.结果 2016-2021年监测的12 008人,通过网络方式寻找男性伴、发生肛交性行为时每次都用安全套、最近1年接受干预服务和艾滋病知识知晓比例均呈上升趋势(均P＜0.05).最近6个月发生过肛交性行为的比例呈下降趋势(P＜0.05).共检出HIV阳性997人,HIV阳性率为8.3％.年龄31～＜41岁、高中/中专学历、异性恋、最近1次肛交性行为时使用安全套、发生肛交性行为时每次都用安全套、知晓艾滋病知识是MSM人群HIV感染的保护因素;最近1年患性病是危险因素.结论 2016-2021年河北省MSM人群HIV感染情况不容乐观,应不断提高安全套使用率,完善性病诊疗服务,控制HIV传播.
Analysis on HIV surveillance results among MSM in Hebei Province from 2016 to 2021
Objective To analyze the prevalence and influencing factors of humanimmunodeficiency virus(HIV)infection among men who have sex with men(MSM)in Hebei Province from 2016 to 2021.Methods Using the AIDS sentinel surveillance data of Hebei Province from 2016 to 2021,HIV infection and its influencing factors were analyzed by chi-square test and logistic regression analysis.Results A total of 12 008 MSM were monitored from 2016 to 2021,the proportion of searching for male partners through the Internet,using condoms every time when having anal sex,receiving intervention services in the last year,and AIDS knowledge awareness showed an increasing trend(all P＜0.05).The proportion of anal sex in the last six months had shown a downward trend(P＜0.05).A total of 997 HIV-positive patients were detected,and the HIV positive rate was 8.3％.Multivariate logistic regression analysis showed that 31-＜41 years old,high school/technical secondary school education,heterosexuality,using condom in the last anal sex,using condom every time for anal sex,and knowledge of AIDS were the protective factors for HIV infection among MSM.While having sexually transmitted diseases in recent one year was a risk factor.Conclusions The situation of HIV infection among MSM population in Hebei Province is not optimistic.It is necessary to increase the rate of condom use and improve STD screening and treatment services to control HIV transmission.
Men who have sex with menHuman immunodeficiency virusInfluencing factors
NETL
NSTL
万方数据
