Reducing the spread of HIV among intravenous drug users, and from them through heterosexual and perinatal transmission, is an urgent public health problem. Attaining this goal requires a thorough understanding of the behaviors and social networks through which HIV is transmitted, and of the social and cultural factors that affect risk-taking and deliberate risk reduction. Although much has been discovered, much remains to be understood. Unsolved problems include the reasons why white IV drug users are less likely to be infected than Blacks or Latinos; why and how 75% of New York City new injectors remain uninfected for 5 years or more after beginning to inject; the precise mechanisms by which some peer groups become particularly inclined to reduce risks; and the complex pattern of racial/ethnic variations in risk-taking and risk reduction.
Specific aims are to determine (1) how patterns of individual behavior and the characteristics of those with whom these individuals take risks (their """"""""risk networks"""""""") are associated with low risk of HIV infection; (2) the kinds of social relationships and peer group cultures that are associated with these lower risk behavioral and network patterns; and (3) to see whether and how knowledge of risk networks, social relationships, and peer group cultures helps us to understand the unsolved problems listed above. In order to resolve these issues, we will need to develop better ways to measure and conceptualize risk networks, social relations, and peer group culture of IV drug users, and thus develop new research techniques for general application in the field. The study will first interview a small sample of street-recruited IV drug users to get daily reports of what they do and who they do it with and from this develop a questionnaire that reflects the variations in risk networks, social relationships, and peer cultures. During the next 21 months, a cross-section of 1300 IV drug users of mixed race/ethnicity, including at least 400 who have been injecting no more than 5 years, will be interviewed with this questionnaire and will undergo testing for hepatitis B and HIV infection. Statistical analysis will focus on how risk behaviors and risk networks explain who is infected (with special attention to how risk networks and behaviors differ with years of injection and across race/ethnic groups, and whether these differences explain differences in who is infected); and on how social relations and peer cultures affect risk behaviors and networks. Substudies will deepen our contextual understanding of risk networks, relationships, and cultures; and measure the proportion of newer injectors who are infected with HIV without having seroconverted.

Agency
National Institute of Health (NIH)
Institute
National Institute on Drug Abuse (NIDA)
Type
Research Project (R01)
Project #
5R01DA006723-03
Application #
2118898
Study Section
Sociobehavioral Subcommittee (DAAR)
Project Start
1990-09-01
Project End
1994-08-31
Budget Start
1992-09-01
Budget End
1994-08-31
Support Year
3
Fiscal Year
1992
Total Cost
Indirect Cost
Name
National Development & Research Institutes
Department
Type
DUNS #
City
New York
State
NY
Country
United States
Zip Code
10010
Friedman, Samuel R; Mateu-Gelabert, Pedro; Curtis, Richard et al. (2007) Social capital or networks, negotiations, and norms? A neighborhood case study. Am J Prev Med 32:S160-70
Kottiri, Benny J; Friedman, Samuel R; Neaigus, Alan et al. (2002) Risk networks and racial/ethnic differences in the prevalence of HIV infection among injection drug users. J Acquir Immune Defic Syndr 30:95-104
Friedman, S R; Kottiri, B J; Neaigus, A et al. (2000) Network-related mechanisms may help explain long-term HIV-1 seroprevalence levels that remain high but do not approach population-group saturation. Am J Epidemiol 152:913-22
Friedman, S R; Curtis, R; Jose, B et al. (1999) The message not heard: myth and reality in discussions about syringe exchange. AIDS 13:738-9
Friedman, S R; Furst, R T; Jose, B et al. (1998) Drug scene roles and HIV risk. Addiction 93:1403-16
Friedman, S R; Neaigus, A; Jose, B et al. (1997) Sociometric risk networks and risk for HIV infection. Am J Public Health 87:1289-96
Friedman, S R (1996) Network methodologies, contact tracing, gonorrhea, and human immunodeficiency virus. Sex Transm Dis 23:523-5
Neaigus, A; Friedman, S R; Jose, B et al. (1996) High-risk personal networks and syringe sharing as risk factors for HIV infection among new drug injectors. J Acquir Immune Defic Syndr Hum Retrovirol 11:499-509
Goldstein, M F; Friedman, S R; Neaigus, A et al. (1995) Self-reports of HIV risk behavior by injecting drug users: are they reliable? Addiction 90:1097-104
Friedman, S R; Jose, B; Deren, S et al. (1995) Risk factors for human immunodeficiency virus seroconversion among out-of-treatment drug injectors in high and low seroprevalence cities. The National AIDS Research Consortium. Am J Epidemiol 142:864-74

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