【摘要】 目的 了解山东省经同性传播的青年学生艾滋病病毒（HIV）感染者确诊前的性行为特征，探索其中双性性行为者的相关特征，为制订针对性的宣传干预措施提供依据。方法 采用方便抽样法抽取2021—2022年山东省确诊的经同性传播的青年学生HIV感染者为研究对象，调查了解其确诊前的性行为特征，采用多因素logistic回归模型分析其中双性性行为者的相关特征。结果 共调查180名研究对象，其中12.2%的人曾发生双性性行为。多因素logistic回归结果显示：与经外展活动和无偿献血人员检测发现的病例相比，经自愿咨询检测（VCT）(OR=0.131,95%CI:0.035～0.483)及医疗机构（OR=0.202,95%CI:0.051～0.796）发现的病例曾发生双性性行为的比例更低。与经互联网线上寻找性伴侣者相比，在公园/酒吧等线下途径寻找同性性伴侣的病例曾发生双性性行为的比例更高（OR=8.176,95%CI:2.419～27.638）。结论 应对酒吧、公园等场所活跃的青年学生加强宣教干预，控制艾滋病在青年学生中的传播。更多还原

【Abstract】 Objective To understand the sexual behavior characteristics before diagnosis of young student HIVinfected individuals transmitted through homosexual transmission in Shandong, and to explore the related characteristics of those with bisexual behavior, and to provide a basis for formulating targeted publicity and intervention measures. Methods Convenience sampling was used to select HIV-infected young students transmitted through homosexual transmission from 2021 to 2022 in Shandong as the research subjects. Their sexual behavior characteristics before diagnosis were investigated. A multivariate logistic regression model was used to analyze the related characteristics of cases with bisexual behavior. Results A total of 180 cases were surveyed, of whom 12.2% had engaged in bisexual sexual behavior. Multivariate logistic regression results showed that compared with cases detected through outreach activities and voluntary blood donation, cases detected through voluntary counseling and testing(OR=0.131, 95%CI: 0.035-0.483) and medical institutions(OR=0.202, 95%CI: 0.051-0.796) had a lower proportion of engaging in bisexual behavior. Cases seeking homosexual partners through offline venues, such as parks/bars had a higher proportion of engaging in bisexual behavior(OR=8.176, 95%CI: 2.419-27.638) than those seeking homosexual partners online via the internet. Conclusion Targeted education and intervention measures should be strengthened for young students in bars, parks, and other offline places, to control the spread of HIV/AIDS among young students.更多还原