Binge use and sex and drug use behaviors among HIV(-), heterosexual methamphetamine users in San Diego.

W Susan Cheng, Richard S Garfein, Shirley J Semple, Steffanie A Strathdee, James K Zians, Thomas L Patterson
Author Information
  1. W Susan Cheng: Division of Global Public Health, Department of Medicine, University of California, San Diego, La Jolla, CA 92093-0680, USA.

Abstract

This study identified sociodemographic factors, drug using practices, sexual behaviors, and motivational factors associated with binge (a period of uninterrupted) methamphetamine (MA) use among heterosexual MA users.
SAMPLE AND METHOD: The FASTLANE study provided cross-sectional data collected by audio computer-assisted self-interview (ACASI) between June 2001 and August 2004 from 451 HIV-negative MA users in San Diego, California, USA who had engaged in unprotected sex and used MA in the previous two months.
RESULTS: The study sample was 67.8% male, 49.4% Caucasian, 26.8% African-American, and 12.8% Hispanic with a mean age of 36.6 years; 183 (40.5%) reported binge use in the past 2 months. Compared with non-binge users, binge users of MA were more likely to report risky drug use and sex behaviors and differed in motivations to initiate and currently use MA. The final logistic regression model for binge use included more days of MA use in the last month, ever treated for MA use, injection drug use, higher Beck Depression Inventory score, "experimentation" as a motivation for initiating MA use, and engaging in sex marathons while high on MA. HIV prevention efforts should differentiate and address these differences in motivations for MA use and the associated HIV-risk sex and drug use behaviors as key targets for effective intervention.

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Grants

  1. P50 MH45294/NIMH NIH HHS
  2. R01 MH061146-07/NIMH NIH HHS
  3. R01 DA12116/NIDA NIH HHS
  4. R01 MH061146/NIMH NIH HHS
  5. P50 MH045294/NIMH NIH HHS
  6. R01 MH61146/NIMH NIH HHS
  7. R01 DA012116/NIDA NIH HHS

MeSH Term

Adolescent
Adult
Amphetamine-Related Disorders
Behavior, Addictive
Cross-Sectional Studies
Drug Users
Female
HIV Seronegativity
Heterosexuality
Humans
Male
Motivation
Risk-Taking
Sexual Behavior

Word Cloud

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