315255
Geographic variations in racial/ethnic disparities in HIV among injection drug users in the United States
Methods: Multilevel logistic regression was used to partition variance in the odds of testing positive for HIV across three hierarchical geographic units (i.e., ZIP codes, counties, metropolitan statistical areas [MSAs]) among 9,079 PWID recruited via respondent-driven sampling in 2009 from 19 MSAs as part of the Centers for Disease Control and Prevention National HIV Behavioral Surveillance System. Two multilevel models were created: the first included random intercepts for each geographic level; the second included random intercepts for each geographic level for three racial/ethnic groups (i.e. non-Hispanic White, non-Hispanic Black, Latino). Models did not include other covariates. Stata software was used.
Results: Overall, 19% of the variance in HIV infection was apportioned to geographic units. When race/ethnicity was included in analysis, 31% of the variance was apportioned to geographic units. The total variance apportioned to geographic units was highest for non-Hispanic Whites, and the relative contribution of each geographic unit varied by race/ethnicity (Table 1).
Table 1. Percent variance in HIV by geographic unit and race/ethnicity, among 9,079 PWID
Geographic unit |
Percent variance in HIV apportioned to geographic units |
|||
|
All racial/ethnic groups (N=9,079) |
Non-Hispanic Whites (N=2752) |
Non-Hispanic Blacks (N=4687) |
Latinos (N=1640) |
ZIP code |
4.3 |
4.3 |
0.0 |
0.0 |
County |
9.2 |
2.3 |
6.9 |
0.0 |
MSA |
17.6 |
7.5 |
0.0 |
10.1 |
Total |
31.1 |
14.1 |
6.9 |
10.1 |
Discussion: Racial/ethnic differences in the overall variance in HIV and in the distribution of variance across geographic units were observed. Place appears to be an important factor for HIV among PWID, and the geographic scale that is most influential appears to differ by race/ethnicity. Studies should evaluate social determinants across multiple geographic units, including smaller geographic units, to inform the development of comprehensive strategies that incorporate place-based interventions.
Learning Areas:
EpidemiologyLearning Objectives:
Demonstrate how multilevel methods can be used to describe how variance in HIV is apportioned differently across multiple geographic units and by race/ethnicity
Discuss why future research on place and racial/ethnic health disparities should investigate the role of place at multiple geographic units
Keyword(s): HIV/AIDS, Drug Abuse
Qualified on the content I am responsible for because: For the past 5 years I have contributed to the conception, analysis, and dissemination of research focused on the social epidemiology of substance use and HIV/STIs. My research as a postdoctoral fellow is focused on substance use and HIV/STIs at the intersection of place characteristics, homelessness, and social networks.
Any relevant financial relationships? No
I agree to comply with the American Public Health Association Conflict of Interest and Commercial Support Guidelines, and to disclose to the participants any off-label or experimental uses of a commercial product or service discussed in my presentation.