Skip to main content

Advertisement

Log in

Injecting Risk Behavior among Traveling Young Injection Drug Users: Travel Partner and City Characteristics

  • Published:
Journal of Urban Health Aims and scope Submit manuscript

Abstract

Young injection drug users (IDUs), a highly mobile population, engage in high levels of injecting risk behavior, yet little is understood about how such risk behavior may vary by the characteristics of the cities to which they travel, including the existence of a syringe exchange program (SEP), as well as travel partner characteristics. In 2004–2005, we conducted a 6-month prospective study to investigate the risk behavior of 89 young IDUs as they traveled, with detailed information gathered about 350 city visits. In multivariable analyses, travel to larger urban cities with a population of 500,000–1,000,000 was significantly associated with injecting drugs (adjusted odds ratio (AOR) = 3.71; 95 % confidence interval (CI), 1.56–8.82), ancillary equipment sharing (AES; AOR = 7.05; 95 % CI, 2.25–22.06) and receptive needle sharing (RNS; AOR = 5.73; 95 % CI, 1.11–27.95), as compared with visits to smaller cities with populations below 50,000. Region of the country, and the existence of a SEP within the city visited, were not independently associated with injecting drugs, AES, or RNS during city visits. Traveling with more than one injecting partner was associated with injecting drugs during city visits (AOR = 2.77; 95 % CI, 1.46–5.27), when compared with traveling alone. Additionally, both non-daily and daily/almost daily alcohol use during city visits were associated with AES (AOR = 3.37; 95 % CI, 1.42–7.68; AOR = 3.03; 95 % CI, 1.32–6.97, respectively) as compared with no alcohol consumption. Traveling young IDUs are more likely to inject when traveling with other IDUs and to engage in higher risk injection behavior when they are in large cities. Risk behavior occurring in city visits, including equipment sharing and alcohol consumption, suggests further need for focused interventions to reduce risk for viral infection among this population.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Becker Buxton M, Vlahov D, Strathdee SA, et al. Association between injection practices and duration of injection among recently initiated injection drug users. Drug Alcohol Depend. 2004; 75(2): 177–183.

    Article  PubMed  Google Scholar 

  2. Hahn JA, Page-Shafer K, Ford J, Paciorek A, Lum PJ. Traveling young injection drug users at high risk for acquisition and transmission of viral infections. Drug Alcohol Depend. 2008; 93(1–2): 43–50.

    Article  PubMed  Google Scholar 

  3. Des Jarlais DC, Perlis T, Arasteh K, et al. Reductions in hepatitis C virus and HIV infections among injecting drug users in New York City, 1990–2001. AIDS. 2005; 3(19 Suppl): S20–25.

    Article  Google Scholar 

  4. Burt RD, Hagan H, Garfein RS, Sabin K, Weinbaum C, Thiede H. Trends in hepatitis B virus, hepatitis C virus, and human immunodeficiency virus prevalence, risk behaviors, and preventive measures among Seattle injection drug users aged 18–30 years, 1994–2004. J Urban Health. 2007; 84(3): 436–454.

    Article  PubMed  Google Scholar 

  5. Hagan H, Des Jarlais DC, Stern R, et al. HCV synthesis project: preliminary analyses of HCV prevalence in relation to age and duration of injection. Int J Drug Policy. 2007; 18(5): 341–351.

    Article  PubMed  Google Scholar 

  6. Shafer KP, Hahn JA, Lum PJ, Ochoa K, Graves A, Moss A. Prevalence and correlates of HIV infection among young injection drug users in San Francisco. J Acquir Immune Defic Syndr. 2002; 31(4): 422–431.

    Article  PubMed  Google Scholar 

  7. Lankenau SE, Sanders B, Hathazi D, Bloom JJ. Recruiting and retaining mobile young injection drug users in a longitudinal study. Subst Use Misuse. 2010; 45(5): 684–699.

    Article  PubMed  Google Scholar 

  8. Lankenau SE, Sanders B, ackson-Bloom J, et al. Migration patterns and substance use among young homeless travelers. In: Thomas YF, Richardson D, Cheung I, eds. Geography and drug addiction. Dordrecht: Springer; 2008: 65–83.

    Chapter  Google Scholar 

  9. Rachlis B, Brouwer KC, Mills EJ, Hayes M, Kerr T, Hogg RS. Migration and transmission of blood-borne infections among injection drug users: understanding the epidemiologic bridge. Drug Alcohol Depend. 2007; 90(2–3): 107–119.

    Article  PubMed  Google Scholar 

  10. Campbell JV, Garfein RS, Thiede H, et al. Convenience is the key to hepatitis A and B vaccination uptake among young adult injection drug users. Drug Alcohol Depend. 2007; 91(Suppl 1(1)): S64–72.

    Article  PubMed  Google Scholar 

  11. Garfein RS, Golub ET, Greenberg AE, et al. A peer-education intervention to reduce injection risk behaviors for HIV and hepatitis C virus infection in young injection drug users. AIDS. 2007; 21(14): 1923–1932.

    Article  PubMed  Google Scholar 

  12. Palmateer N, Kimber J, Hickman M, Hutchinson S, Rhodes T, Goldberg D. Evidence for the effectiveness of sterile injecting equipment provision in preventing hepatitis C and human immunodeficiency virus transmission among injecting drug users: a review of reviews. Addiction. 2010; 105(5): 844–859.

    Article  PubMed  Google Scholar 

  13. Holtzman D, Barry V, Ouellet LJ, et al. The influence of needle exchange programs on injection risk behaviors and infection with hepatitis C virus among young injection drug users in select cities in the United States, 1994–2004. Prev Med. 2009; 49(1): 68–73.

    Article  PubMed  Google Scholar 

  14. Boodram B, Golub ET, Ouellet LJ. Socio-behavioral and geographic correlates of prevalent hepatitis C virus infection among young injection drug users in metropolitan Baltimore and Chicago. Drug Alcohol Depend. 2010; 111(1–2): 136–145.

    Article  PubMed  Google Scholar 

  15. Tyler KA. Social network characteristics and risky sexual and drug related behaviors among homeless young adults. Soc Sci Res. 2008; 37(2): 673–685.

    Article  PubMed  Google Scholar 

  16. Hahn JA, Evans JL, Davidson PJ, Lum PJ, Page K. Hepatitis C virus risk behaviors within the partnerships of young injecting drug users. Addiction. 2010; 105(7): 1254–1264.

    Article  PubMed  Google Scholar 

  17. Bailey SL, Ouellet LJ, Mackesy-Amiti ME, et al. Perceived risk, peer influences, and injection partner type predict receptive syringe sharing among young adult injection drug users in five U.S. cities. Drug Alcohol Depend. 2007; 91(Suppl 1(1)): S18–29.

    Article  PubMed  Google Scholar 

  18. Hahn JA, Page-Shafer K, Lum PJ, et al. Hepatitis C virus seroconversion among young injection drug users: relationships and risks. J Infect Dis. 2002; 186(11): 1558–1564.

    Article  PubMed  Google Scholar 

  19. Evans JL, Hahn JA, Page-Shafer K, et al. Gender differences in sexual and injection risk behavior among active young injection drug users in San Francisco (the UFO Study). J Urban Health. 2003; 80(1): 137–146.

    Article  PubMed  Google Scholar 

  20. Lum PJ, Ochoa KC, Hahn JA, Page Shafer K, Evans JL, Moss AR. Hepatitis B virus immunization among young injection drug users in San Francisco, Calif: the UFO Study. Am J Public Health. 2003; 93(6): 919–923.

    Article  PubMed  Google Scholar 

  21. Population Estimates 2004. http://www.census.gov/popest/archives/2000s/vintage_2004/. 2011.

  22. Rice E, Milburn NG, Rotheram-Borus MJ, Mallett S, Rosenthal D. The effects of peer group network properties on drug use among homeless youth. Am Behav Sci. 2005; 48(8): 1102–1123.

    Article  PubMed  Google Scholar 

  23. Clements-Nolle K, Marx R, Guzman R, Katz M. HIV prevalence, risk behaviors, health care use, and mental health status of transgender persons: implications for public health intervention. Am J Public Health. 2001; 91(6): 915–921.

    Article  PubMed  CAS  Google Scholar 

  24. Langhaug LF, Sherr L, Cowan FM. How to improve the validity of sexual behaviour reporting: systematic review of questionnaire delivery modes in developing countries. Trop Med Int Health. 2010; 15(3): 362–381.

    Article  PubMed  Google Scholar 

  25. Des Jarlais DC, Perlis TE, Settembrino JM. The use of electronic debit cards in longitudinal data collection with geographically mobile drug users. Drug Alcohol Depend. 2005; 77(1): 1–5.

    Article  PubMed  Google Scholar 

  26. Sanders B, Lankenau SE, Jackson-Bloom J, Hathazi D. Multiple drug use and polydrug use amongst homeless traveling youth. J Ethn Subst Abuse. 2008; 7(1): 23–40.

    Article  PubMed  Google Scholar 

  27. Martino SC, Tucker JS, Ryan G, Wenzel SL, Golinelli D, Munjas B. Increased substance use and risky sexual behavior among migratory homeless youth: exploring the role of social network composition. J Youth Adolesc. 2011; 40(12): 1634–1648.

    Article  PubMed  Google Scholar 

  28. Ziek K, Beardsley M, Deren S, Tortu S. Predictors of follow-up in a sample of urban crack users. Eval Program Plann. 1996; 19(3): 219–224.

    Article  Google Scholar 

  29. McKenzie M, Tulsky JP, Long HL, Chesney M, Moss A. Tracking and follow-up of marginalized populations: a review. J Health Care Poor U. 1999; 10(4): 409–429.

    Article  CAS  Google Scholar 

  30. Hagan H, Pouget ER, Williams IT, et al. Attribution of hepatitis C virus seroconversion risk in young injection drug users in 5 US cities. J Infect Dis. 2010; 201(3): 378–385.

    Article  PubMed  Google Scholar 

Download references

Acknowledgments

The authors would like to acknowledge the important contributions of the participants and field staff, past and present, of the UFO Study, and David Purchase, Chair of the North American Syringe Exchange Network (NASEN). This study was funded by NIDA 5T32DA02335603 (Davidson), NIDA 5R01 DA016017-08 (Evans, Page), the University wide AIDS Research Program ID03-SF-006 (Hahn), and by NIH/NIDA K01 DA023365 (Hahn).

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Judith A. Hahn.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Montgomery, M.E., Fatch, R.S., Evans, J.L. et al. Injecting Risk Behavior among Traveling Young Injection Drug Users: Travel Partner and City Characteristics. J Urban Health 90, 500–515 (2013). https://doi.org/10.1007/s11524-012-9718-2

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11524-012-9718-2

Keywords

Navigation