Exploratory analysis of the association between new-type drug use and sexual transmission of HIV in China

Am J Drug Alcohol Abuse. 2010 Mar;36(2):130-3. doi: 10.3109/00952991003734269.

Abstract

Background: A recent assessment by the Chinese government showed that sexual transmission is becoming the main mode of spreading human immunodeficiency virus (HIV) in China. The annual report on drug abuse demonstrated a seven-fold increase of use of Amphetamine Type Stimulants (ATS), which has been strongly correlated with sexual risk-taking behaviors, in 2007 than that in 2003. These observations suggest that ATS use may have contributed to the rapid increase in sexual transmission of HIV in China.

Objective: The present study aims to investigate the potential association between new drug users and transmission modes.

Methods: Partial Least Squares Path Model and Partial Least Squares Regression Models have been used to evaluate the potential correlation between ATS users and the sexual transmission of HIV.

Results: Our analysis indicates that HIV infection by drug use mode mainly results from heroin users (R = .5). ATS (R = -.9) and other drug users (R = -.4) have a negative relationship with HIV infection by drug use mode. However, for HIV infection by sexual transmission mode, ATS (R = 5.5) and other drug users (R = .6) show a positive association. ATS, especially, presents a strongly association with the sexual transmission of HIV.

Conclusion: The study results suggest that ATS users significantly contribute to the sexual transmission of HIV.

Scientific significance: It is helpful to evaluate and predict the potential risk factors related with epidemic of HIV in China and provide theoretical evidence for HIV/AIDS health officers and policy makers to better construct target interventions and implement control measures.

Publication types

  • Research Support, N.I.H., Extramural
  • Research Support, Non-U.S. Gov't

MeSH terms

  • China / epidemiology
  • Comorbidity
  • HIV
  • HIV Infections / epidemiology*
  • HIV Infections / transmission*
  • Health Behavior
  • Humans
  • Pilot Projects
  • Regression Analysis
  • Risk Factors
  • Risk-Taking
  • Sexual Behavior
  • Substance Abuse, Intravenous / epidemiology*