摘要
目的分析广东省中低档暗娼艾滋病病毒(HIV)检测现状及其相关的影响因素,为提高暗娼HIV检测覆盖率提供科学依据。方法2017年8-12月应用自行设计的调查问卷对广东省内中低档暗娼HIV检测情况开展横断面调查,并对其影响因素进行Logistic回归分析。结果本次共调查1207例中低档暗娼,平均年龄为(30.69±6.75)岁,过去1年内HIV检测率为30.90%。多因素Logistic回归结果显示:年龄越大[比值比(OR)=2.283],收入越高(OR=2.180),过去1周接客数量越多(OR=11.997),最近1个月与客人发生性行为时有时使用安全套(OR=1.587),最近1年曾接受过艾滋病健康宣传教育(OR=11.746),最近1年曾出现阴道分泌物异常(OR=2.573),最近1年曾出现非月经期下腹部疼痛(OR=2.728)的暗娼更易接受HIV检测。结论目前广东省中低档暗娼HIV检测率仍较低,需要加强HIV检测宣传与干预,提高HIV检测覆盖率。
Objective To investigate the current situation of HIV testing rate among middle and low-class female sex workers in Guangdong province and its related influencing factors to provide a scientific basis for increase of HIV testing coverage.Methods A cross-sectional survey was conducted from Aug to Dec in 2017 and data were collected by using questionnaires.Logistic analysis of influencing factors was performed.Results A total of 1207 middle and low-class female sex workers were included in this survey,with an average age of 30.69±6.75 years.The HIV testing rate was 30.90%in the past one year.Multivariate logistic regression indicated that the female sex workers were more likely to have HIV testing,with older age(OR=2.283),higher income(OR=2.180),a larger number of clients in the past week(OR=11.997),inconsistent use of condom in intercourse with clients last month(OR=1.587),AIDS health education(OR=11.746)in the last year,vaginal discharge abnormality last year(OR=2.573)and non-menstrual lower abdominal pain last year(OR=2.73).Conclusion The HIV testing rate of middle and low-class female sex workers is still low in Guangdong.It is necessary to expand HIV testing coverage.
作者
赵培祯
王雅洁
聂娟
郑和平
杨斌
王成
ZHAO Peizhen;WANG Yajie;NIE Juan;ZHENG Heping;YANG Bin;WANG Cheng(Dermatology Hospi tal,Southern Medical University/Guangdong Provincial Centre for Skin Diseases and STIs Control and Preven tion,Guangzhou 510091,China)
出处
《中国艾滋病性病》
CAS
CSCD
北大核心
2019年第10期1056-1058,1079,共4页
Chinese Journal of Aids & STD
基金
广东省医学科研基金(A2018508)~~
关键词
中低档暗娼
艾滋病病毒
检测现状
影响因素
middle and low-class female sex workers
human immunodeficiency virus
HIV testing
influencing factors