IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v17y2020i15p5483-d391681.html
   My bibliography  Save this article

Epidemics of HIV Infection among Heavy Drug Users of Depressants Only, Stimulants Only, and Both Depressants and Stimulants in Mainland China: A Series, Cross-Sectional Studies

Author

Listed:
  • Bo Zhang

    (Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
    National Institute on Drug Dependence, Peking University, Beijing100191, China)

  • Xiang-Yu Yan

    (Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
    National Institute on Drug Dependence, Peking University, Beijing100191, China)

  • Yong-Jie Li

    (Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
    National Institute on Drug Dependence, Peking University, Beijing100191, China)

  • Zhi-Min Liu

    (National Institute on Drug Dependence, Peking University, Beijing100191, China)

  • Zu-Hong Lu

    (Biomedical Engineering, Southeast University, Nanjing 211189, China)

  • Zhong-Wei Jia

    (Department of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing 100191, China
    National Institute on Drug Dependence, Peking University, Beijing100191, China
    Center for Drug Abuse Control and Prevention, National Institute of Health Data Science, Peking University, Beijing 100191, China
    Center for Intelligent Public Health, Institute for Artificial Intelligence, Peking University, Beijing 100191, China)

Abstract

Background: Heavy drug users was a global consensus high-risk population of HIV infection. However, the specific impact of drug on HIV infection has not yet been established. Depressants and stimulants were most widely used drugs in mainland China, and mix use of the two drugs was also serious. We assessed the HIV infection rate and trends in heavy drug users by analyzing data from the National Dynamic Management and Control Database for Drug Users (NDMCDDU). Methods: All heavy drug users with HIV test results in NDMCDDU from 2008 to 2016 were grouped into depressants only group (DOG), stimulants only group (SOG), and both depressants and stimulants group (DSG). We used joinpoint regression to examine trends of HIV infection rates. Multivariable logistic regression was used to examine factors related to HIV infection. Results: A total of 466,033 heavy drug users with 9522 cases of HIV infection were included in this analysis. HIV infection rate was estimated at 2.97% (95% CI 2.91–3.04%) of 265,774 users in DOG, 0.45% (95% CI 0.42–0.49%) of 140,895 users in SOG, and 1.65% (95% CI 1.55–1.76%) of 59,364 users in DSG. In DOG, a U-shaped curve of HIV infection rate decreased from 3.85% in 2008 to 2.19% in 2010 (annual percent change (APC) −12.9, 95% CI −19.3–−6.0, p < 0.05), then increased to 4.64% in 2016 (APC 8.3, 95% CI 6.1–10.4, p < 0.05) was observed. However, SOG and DSG showed consistent increases from 0.15% in 2008 to 0.54% in 2016 (APC 8.2, 95% CI 4.8–11.8, p < 0.05) and from 0.78% in 2008 to 2.72% in 2016 (APC 13.5, 95% CI 10.7–16.4, p < 0.05), respectively. HIV infection rate of DOG in the southwest region presented a U-shaped trend. All groups showed significant increases in HIV infection in east and central regions. Conclusions: The U-shaped curve for HIV infection rate among DOG users and consistent increases among SOG and DSG users implies drug abuse is still a critical focus of HIV infection in China. It is urgently needed to reassess the effectiveness of current strategies on HIV prevention and control among drug users.

Suggested Citation

  • Bo Zhang & Xiang-Yu Yan & Yong-Jie Li & Zhi-Min Liu & Zu-Hong Lu & Zhong-Wei Jia, 2020. "Epidemics of HIV Infection among Heavy Drug Users of Depressants Only, Stimulants Only, and Both Depressants and Stimulants in Mainland China: A Series, Cross-Sectional Studies," IJERPH, MDPI, vol. 17(15), pages 1-20, July.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:15:p:5483-:d:391681
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/17/15/5483/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/17/15/5483/
    Download Restriction: no
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:17:y:2020:i:15:p:5483-:d:391681. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.