Predictive factors of HIV-infection in injecting drug users upon incarceration

Eur J Epidemiol. 1998 Jun;14(4):327-31. doi: 10.1023/a:1007461608434.

Abstract

Objective: To identify predictors of HIV-infection in injecting drug users upon incarceration.

Patients and methods: We studied 639 IDU or ex-IDU prisoners admitted to a provincial prison of Northwestern Spain between 1 January 1991 and 31 December 1995. Each was interviewed by health personnel and tested for HIV-infection (ELISA followed by immunoblot confirmation in positive cases). Statistical analysis was based on logistic regression.

Results: The prevalence of HIV-infection was 46.9% (95% CI: 43.1%-50.8%). No decreasing tendency in annual prevalence of HIV-infection was observed (p = 0.88); however, for those incarcerated for the first time prevalence fell from 38% in 1991 to 19% in 1995 (p = 0.20). Gypsies (OR: 0.43; 95% CI: 0.23-0.80) and prisoners who were older upon first incarceration (OR: 0.94; 95% CI: 0.90-0.99) were associated with lesser risk of HIV-infection. Women (OR: 2.17; 95% CI: 1.29-3.65), older prisoners (OR: 1.06; 95% CI: 1.02-1.11), those with multiple incarceration histories (OR: 1.06; 95% CI: 1.01-1.11) and long-term prisoners (OR: 1.01; 95% CI: 1.00-1.02) were associated with higher risk.

Conclusions: The high prevalence of HIV-infection, especially in women, younger prisoners, repeat offenders and long-term prisoners, suggests that prevention measures directed toward the most marginal IDU have not been very effective. Harm-reduction programs must be made to reach the IDU population, both in and outside prison walls.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • AIDS Serodiagnosis
  • Adolescent
  • Adult
  • Age Distribution
  • Confidence Intervals
  • Female
  • HIV Infections / diagnosis
  • HIV Infections / epidemiology*
  • HIV Infections / etiology
  • HIV Infections / prevention & control
  • Humans
  • Logistic Models
  • Male
  • Mass Screening / statistics & numerical data*
  • Multivariate Analysis
  • Odds Ratio
  • Predictive Value of Tests
  • Prevalence
  • Prisoners / statistics & numerical data*
  • Risk Factors
  • Sex Distribution
  • Spain / epidemiology
  • Substance Abuse, Intravenous / complications
  • Substance Abuse, Intravenous / epidemiology*