Please wait a minute...
文章检索
预防医学  2020, Vol. 32 Issue (10): 992-995    DOI: 10.19485/j.cnki.issn2096-5087.2020.10.005
  论著 本期目录 | 过刊浏览 | 高级检索 |
湖州市HIV/AIDS分子网络传播簇的影响因素研究
金玫华1, 李婧1, 刘小琦1, 陈琳2, 杨中荣1
1.湖州市疾病预防控制中心,浙江 湖州 313000;
2.浙江省疾病预防控制中心
Influencing factors of molecular network transmission clusters of HIV/AIDS in Huzhou
*JIN Meihua, LI Jing, LIU Xiaoqi, CHEN Lin, YANG Zhongrong
*Huzhou Center for Disease Control and Prevention, Huzhou, Zhejiang 313000, China
全文: PDF(872 KB)  
输出: BibTeX | EndNote (RIS)      
摘要 目的 分析艾滋病病毒感染者/艾滋病患者(HIV/AIDS)分子网络传播簇的影响因素,为艾滋病精准防控提供依据。方法 采用病例对照研究方法,以2017年1月―2019年6月湖州市新报告且HIV分子网络传播簇聚集性强(成簇)的HIV/AIDS病例为病例组,按照1∶4匹配同期、同社区、性别相同、年龄相近(±3岁)且HIV抗体检测阴性的居民为对照组。采用自行设计的问卷调查人口学特征、艾滋病防治知识知晓情况和艾滋病相关行为等。采用Cox回归模型分析HIV/AIDS分子网络传播簇的影响因素。结果 病例组100例,对照组400人,两组的年龄、性别、婚姻状况、户籍地和文化程度差异均无统计学意义(P>0.05)。多因素Cox回归分析结果显示,知晓艾滋病防治知识(HR=0.145,95%CI:0.059~0.352)是发生HIV/AIDS分子网络传播簇的保护因素;男男性行为者(HR=9.614,95%CI:4.645~19.901)、曾经通过网络认识同性性伴(HR=16.321,95%CI:7.016~32.968)和现患梅毒(HR=3.314,95%CI:1.073~10.232)是发生HIV/AIDS分子网络传播簇的危险因素。结论 艾滋病防治知识知晓水平、男男性行为者、通过网络认识同性性伴和现患梅毒是发生HIV/AIDS分子网络传播簇的影响因素。
服务
把本文推荐给朋友
加入引用管理器
E-mail Alert
RSS
作者相关文章
金玫华
李婧
刘小琦
陈琳
杨中荣
关键词 艾滋病分子网络传播簇男男性行为者病例对照研究    
AbstractObjective To analyze the influencing factors for the molecular network transmission clusters of HIV/AIDS, and to provide scientific evidence for the precise prevention and control of AIDS. Methods A case-control study was conducted. The HIV/AIDS cases reported from January 2017 to June 2019 in Huzhou with strong clustering of HIV molecular transmission were recruited as the case group, and the residents with same gender, similar age ( ±three years ) and HIV negative in the same community and period were matched ( 1∶4 ) as the control group. Demographic characteristics, AIDS related knowledge and sexual behaviors were collected by a questionnaire survey. The Cox regression model was used to analyze the influencing factors for HIV/AIDS molecular network transmission cluster. Results There was 100 people in the case group and 400 people in the control group, the differences between them in age, sex, marital status, place of residence and educational level were not statistically significant ( P>0.05 ) . The results of multivariate Cox regression analysis showed that awareness of AIDS related knowledge ( HR=0.145, 95%CI: 0.059-0.352 ) was a protective factor for molecular network transmission clusters of HIV/AIDS; men who have sex wth men ( MSM, HR=9.614, 95%CI: 4.645-19.901) , seeking homosexual partners through the internet (HR=16.321, 95%CI: 7.016-32.968) and having syphilis ( HR=3.314, 95%CI: 1.073-10.232 ) were risk factors for molecular network transmission clusters of HIV/AIDS. Conclusions The awareness of AIDS related knowledge, MSM, seeking homosexual partners through the internet and suffering from syphilis are the influencing factors for molecular network transmission clusters of HIV/AIDS.
Key wordsacquired immune deficiency syndrome    molecular network transmission cluster    men who have sex with men    case-control study
收稿日期: 2020-05-08      修回日期: 2020-06-28     
中图分类号:  R512.91  
基金资助:浙江省医药卫生科技计划项目(2020KY943); 湖州市科技计划项目(2019GZB04)
作者简介: 金玫华,本科,主任医师,主要从事传染病预防控制工作
通信作者: 杨中荣,E-mail:yzhr91@126.com   
引用本文:   
金玫华, 李婧, 刘小琦, 陈琳, 杨中荣. 湖州市HIV/AIDS分子网络传播簇的影响因素研究[J]. 预防医学, 2020, 32(10): 992-995.
JIN Meihua, LI Jing, LIU Xiaoqi, CHEN Lin, YANG Zhongrong. Influencing factors of molecular network transmission clusters of HIV/AIDS in Huzhou. Preventive Medicine, 2020, 32(10): 992-995.
链接本文:  
https://www.zjyfyxzz.com/CN/10.19485/j.cnki.issn2096-5087.2020.10.005      或      https://www.zjyfyxzz.com/CN/Y2020/V32/I10/992
[1] 甘梦泽,冯毅,邢辉.基于分子网络方法研究HIV感染者传播特征的相关进展[J].中华流行病学杂志,2019,40(11):1487-1491.
[2] 黎裕雪云,冯毅,阮玉华,等.HIV分子传播网络研究进展[J].中国艾滋病性病,2016,22(11):940-942.
[3] KOSTAKI E G,NIKOLOPOULOS G K,PAVLITINA E,et al.Molecular analysis of human immunodeficiency virus type 1 (HIV-1)-infected individuals in a network-based intervention (transmission reduction intervention project):phylogenetics identify HIV-1-infected individuals with social links[J].J Infect Dis,2018,218(5):707-715.
[4] KOSTAKI E G,FRAMPTON D,PARASKEVIS D,et al.Near full-length genomic sequencing and molecular analysis of HIV-infected individuals in a network-based intervention (TRIP) in Athens, Greece:evidence that transmissions occur more frequently from those with high HIV-RNA[J].Curr HIV Res,2018,16(5):345-353.
[5] WERTHEIM J O,OSTER A M, SWITZER W M,et al.Natural selection favoring more transmissible HIV detected in United States molecular transmission network[J/OL].Nat Commun,2019,10(1)[2020-06-28]. https://doi.org/10.1038/s41467-019-13723-z.
[6] YANG Z,LI J,DONG Z,et al.Correlates of recent HIV infection among men who have sex with men recruited through the internet in Huzhou City, Eastern China[J].J Int Med Res,2018,46(12):5052-5061.
[7] 吴尊友. 我国艾滋病经性传播新特征与防治面临的挑战[J].中华流行病学杂志,2018,39(6):707-709.
[8] 陈婉君,潘晓红,范钦,等.应用分子传播网络分析浙江省湖州市2017年新报告HIV感染者和艾滋病患者的传播特征[J].中华预防医学杂志,2019,53(12):1278-1283.
[9] 金玫华,杨中荣,李婧,等.性病门诊男性就诊者梅毒感染及影响因素分析[J].预防医学,2018,30(8):809-811,815.
[10] ZHANG T Q,MIAO Y,LI L G,et al.Awareness of HIV/AIDS and its routes of transmission as well as access to health knowledge among rural residents in Western China: a cross-sectional study[J/OL].BMC Public Health, 2019,19(1)[2020-06-28].https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-019-7992-6.
[11] 李娜,施明明,陈俊,等.上城区VCT门诊求询者HIV感染状况分析[J].预防医学,2019,31(6):597-599.
[12] 张兴亮,罗艳,丁建明,等.2017年杭州市新确诊男男性行为人群HIV/AIDS病例特征分析[J].预防医学,2020,32(4): 373-377.
[13] 杨爱学,李淼.奎屯市244例MSM人群艾滋病知识行为及感染状况分析[J].实用预防医学,2018,25(5):576-579.
[14] TAKADA S,NYAKATO V,NISHI A,et al.The social network context of HIV stigma: population-based,sociocentric network study in rural Uganda[J].Soc Sci Med,2019,233:229-236.
[15] KATZ D A,DOMBROWSKI J C,BARRY M,et al.STD partner services to monitor and promote HIV pre-exposure prophylaxis use among men who have sex with men[J].J Acquir Immune Defic Syndr,2019,80(5):533-541.
[16] TRAYNOR S M,ROSEN-METSCH L,FEASTER D J.Missed opportunities for HIV testing among STD clinic patients[J].J Community Health,2018,43(6):1128-1136.
[1] 徐光明, 张震, 叶小红. 2015—2024年临海市新报告HIV/AIDS病例晚发现及影响因素分析[J]. 预防医学, 2026, 38(1): 71-74.
[2] 苏德华, 陈向阳, 李君, 赵丽娜, 张鹤美, 朱婷婷, 胡文雪, 赖江宜. 温州市新报告HIV/AIDS病例抗病毒治疗及时性分析[J]. 预防医学, 2025, 37(8): 804-808.
[3] 徐莉, 刘萍, 卞宇旬, 陈圆媛, 李鑫娜, 周乐. 扬州市新报告50岁及以上HIV/AIDS病例抗病毒治疗前耐药分析[J]. 预防医学, 2025, 37(8): 779-782,788.
[4] 李瑶, 杨景元, 杨虹, 李向春, 孔瑞琴, 刘静, 白宝宝, 张艳萍, 李慧. 内蒙古自治区艾滋病自愿咨询检测门诊求询者特征分析[J]. 预防医学, 2025, 37(4): 356-360.
[5] 李倩, 杨柏林, 陈积标, 尹寒露, 许祝平, 孟晓军. 无锡市50岁及以上HIV/AIDS抗病毒治疗病例自报慢性病资料分析[J]. 预防医学, 2025, 37(4): 390-394.
[6] 王洪岩, 任飞林, 刘小琦, 金玫华, 吴振乾. 2009—2023年湖州市HIV/AIDS病例新发现率趋势分析[J]. 预防医学, 2025, 37(4): 395-399.
[7] 王苓, 许珂, 张兴亮, 黄思超, 李西婷, 陈珺芳. 2022年杭州市新报告HIV/AIDS病例感染特征分析[J]. 预防医学, 2025, 37(2): 123-129.
[8] 钟郁媛, 许鑫慧, 王嘉川, 门娅玲, 李羽恒, 顾仁君, 王红妹. 老年HIV/AIDS病例心理弹性在艾滋病相关压力与患者报告结局间的中介效应分析[J]. 预防医学, 2025, 37(12): 1189-1194.
[9] 杨文涛, 张宏, 朱士玉, 徐娜, 杨志远, 朱建明, 宋灿磊. HIV/AIDS病例生存质量的影响因素研究[J]. 预防医学, 2025, 37(12): 1195-1200.
[10] 余红, 陈晓霞, 章逸莉, 吴长划. 3岁以下儿童语言发育迟缓的影响因素分析[J]. 预防医学, 2025, 37(12): 1282-1286.
[11] 丁晨, 刘家虹, 吴争, 熊长辉. 江西省部分地区HIV/AIDS病例HIV-1分子传播网络分析[J]. 预防医学, 2024, 36(9): 764-767.
[12] 戴色莺, 沈月兰, 刘爱文, 张进, 吴家兵. 安徽省男性流动人口艾滋病相关知识和HIV感染情况调查[J]. 预防医学, 2024, 36(8): 674-678,682.
[13] 王慧, 李锦成, 陆兴, 王金富, 竺丽梅, 刘巧. 重组结核杆菌融合蛋白皮肤试验筛查HIV/AIDS病例结核分枝杆菌潜伏感染的效果分析[J]. 预防医学, 2024, 36(7): 639-643.
[14] 何婷婷, 曹栋卿, 林家锋, 蒋卓婧, 张佳峰, 范钦. 绍兴市MSM人群HIV-1分子传播网络特征分析[J]. 预防医学, 2024, 36(7): 571-575,579.
[15] 吴斌, 方琼楼, 朱珂. 金华市抗病毒治疗失败HIV/AIDS病例HIV-1亚型及耐药分析[J]. 预防医学, 2024, 36(6): 506-509.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed