[Characteristics of newly reported HIV/AIDS cases with non-marital or non-commercial heterosexual transmission in Guangxi Zhuang Autonomous Region, 2015-2018]

Zhonghua Liu Xing Bing Xue Za Zhi. 2020 Apr 10;41(4):537-541. doi: 10.3760/cma.j.cn112338-20190625-00467.
[Article in Chinese]

Abstract

Objective: To understand the characteristics and associated factors of newly reported HIV/AIDS cases with non-marital or non-commercial heterosexual transmission, in Guangxi Zhuang Autonomous Region (Guangxi), 2015-2018. Methods: Information of newly reported HIV/AIDS cases aged ≥18 years in Guangxi between 2015 and 2018 was collected from the National Comprehensive HIV/AIDS Information System. Unconditional logistic regression model was used to access those factors that were associated with HIV infections through non-marital or non-commercial heterosexual contact. Results: Between 2015 and 2018, a total number of 35 497 HIV/AIDS cases, aged ≥18 years were newly reported in Guangxi. Among them, 32 648 (92.0%) were infected heterosexually while 10 500 were infected through non-marital or non-commercial heterosexual behavior. Non-marital or non-commercial heterosexual transmission accounted for 29.6% (10 500/35 497) of the newly reported HIV/AIDS cases, and 32.2% (10 500/32 648) of those with heterosexual transmission. Males counted for 53.5% (5 617/10 500) of non-marital or non-commercial heterosexual transmission and males to females ratio was 1.2∶1 (5 617∶4 883). Those married or had regular sexual partners counted for 55.9% (5 873/10 500). Commercial heterosexual transmission appeared the main mode of HIV transmission for males (64.4%,16 516/25 633) while main mode for females was non-marital or non-commercial heterosexual transmission and counted for 49.5% (4 883/9 864). Results from the multivariate logistic regression analysis showed that adjusted OR of female HIV/AIDS infected HIV via non-marital or non-commercial heterosexual transmission, was 3.98 times (95%CI: 3.78-4.20) hight than that of males. Among the group aged<50 years and the aged 50-59 years, the adjusted ORs were 1.35 times (95%CI: 1.27-1.44) and 1.13 times (95%CI: 1.05-1.21) hight than that of aged ≥60 years. Those who were single/divorced/widowed, the adjusted OR was 1.53 times (95%CI: 1.45-1.61) hight than that of those married/regular partners. Those with junior high school education, high school education and above the adjusted ORs were 1.22 times (95%CI: 1.16-1.29) and 1.18 times (95%CI: 1.10-1.27), compared to those only with education levels of primary school or below. Conclusions: The number of HIV/AIDS cases via non-marital or non-commercial heterosexual transmission accounted for nearly 30.0% of all the routes of HIV transmission in Guangxi, 2015-2018. Female, aged<60 years old, single/divorced/widowed and having had junior and above high school education etc., appeared as risk factors on non-marital or non-commercial heterosexual transmission, among newly reported HIV/AIDS in Guangxi.

目的: 了解2015-2018年广西壮族自治区(广西)新报告非婚非商业异性性传播(非婚非商性传播)HIV/AIDS特征及其相关影响因素。 方法: 数据来源于中国疾病预防控制信息系统艾滋病防治基本信息系统,收集2015-2018年广西新报告≥18岁HIV/AIDS相关信息,采用非条件logistic回归模型分析新报告HIV/AIDS的非婚非商性传播HIV的影响因素。 结果: 2015-2018年广西新报告≥18岁HIV/AIDS 35 497例,异性性传播32 648例(占92.0%),非婚非商性传播10 500例,占新报告HIV/AIDS的29.6%(10 500/35 497),占异性性传播的32.2%(10 500/32 648),男性占53.5%(5 617/10 500),男女性别比为1.2∶1(5 617∶4 883),已婚/有固定性伴占55.9%(5 873/10 500)。男性的商业性传播占64.4%(16 516/25 633),而女性的非婚非商性传播占49.5%(4 883/9 864)。多因素logistic回归分析结果显示,非婚非商性传播的HIV感染风险:女性是男性的3.98倍(95%CI:3.78~4.20),<50、50~59岁组分别是≥60岁组的1.35倍(95%CI:1.27~1.44)、1.13倍(95%CI:1.05~1.21),未婚/离异/丧偶是已婚/有固定性伴的1.53倍(95%CI:1.45~1.61),文化程度为初中、高中及以上的分别是小学及以下的1.22倍(95%CI:1.16~1.29)、1.18倍(95%CI:1.10~1.27)。 结论: 2015-2018年广西新报告HIV/AIDS中,非婚非商性传播的构成比接近30.0%,非婚非商性传播HIV的危险因素包括女性、<60岁、未婚/离异/丧偶和初中及以上文化程度,应采取精准的防控措施。.

Keywords: HIV/AIDS; Heterosexual transmission; Non-commercial; Non-marital.

MeSH terms

  • Acquired Immunodeficiency Syndrome
  • Adolescent
  • Adult
  • Aged
  • China / epidemiology
  • Female
  • HIV Infections / diagnosis*
  • HIV Infections / epidemiology
  • HIV Infections / transmission*
  • Health Surveys
  • Heterosexuality / statistics & numerical data*
  • Humans
  • Male
  • Middle Aged
  • Risk Factors
  • Sexual Behavior
  • Young Adult