Abstract
Previous work has documented associations between poverty and HIV. Understanding of these relationships at local levels could help target prevention efforts; however, HIV surveillance systems do not capture individual-level poverty measures. We utilized the Public Health Disparities Geocoding Project methods to examine HIV rates by census tract poverty. HIV rates and rate ratios were computed by census tract poverty (< 5.0, 5.0–9.9, 10.0–19.9, > 20.0% of individual below the federal poverty level) for all races and stratified by Black and White race using Poisson regression. We observed higher HIV rates in the highest poverty gradient compared to the lowest poverty gradient for all races combined and among White cases. After adjustment, HIV rates were similar across poverty gradients for all comparisons. Our findings suggest that the association between poverty and HIV may differ by subpopulation, while demonstrating the potential for HIV prevention targeting residents of high poverty areas.
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References
Centers for Disease Control and Prevention. HIV surveillance report, 2014, vol. 26. http://www.cdc.gov/hiv/library/reports/surveillance/. Accessed 21 March 2016.
Hallfors DD, Iritani BJ, Miller WC, Bauer DJ. Sexual and drug behavior patterns and HIV and STD racial disparities: the need for new directions. Am J Public Health. 2007;97(1):125–32.
Millett GA, Peterson JL, Wolitski RJ, Stall R. Greater risk for HIV infection of black men who have sex with men: a critical literature review. Am J Public Health. 2006;96(6):1007–19.
Millett GA, Flores SA, Peterson JL, Bakeman R. Explaining disparities in HIV infection among black and white men who have sex with men: a meta-analysis of HIV risk behaviors. AIDS. 2007;21(15):2083–91.
Pellowski JA, Kalichman SC, Matthews KA, Adler N. A pandemic of the poor: social disadvantage and the U.S. HIV epidemic. Am Psychol. 2013;68(4):197–209.
Krieger N, Chen JT, Ebel G. Can we monitor socioeconomic inequalities in health? A survey of US health departments’ data collection and reporting practices. Public Health Rep. 1997;112(6):481–91.
Gant Z, Gant L, Song R, Willis L, Johnson AS. A census tract-level examination of social determinants of health among black/African American men with diagnosed HIV infection, 2005-2009–17 US areas. PLoS ONE. 2014;9(9):e107701.
An Q, Prejean J, McDavid K, Xiangming F. Association Between Community Socioeconomic Position and HIV Diagnosis Rate Among Adults and Adolescents in the United States, 2005 to 2009. Am J Public Health. 2013;103(1):120–6.
Vaughan AS, Rosenberg E, Shouse L. Connecting race and place: a county-level analysis of white, black and Hispanic HIV prevalence, poverty, and level of urbanization. Am J Public Health. 2014;104(7):e77–84.
Ellen JM, Kohn RP, Bolan GA, Shiboski S, Krieger N. Socioeconomic differences in sexually transmitted disease rates among black and white adolescents, San Francisco, 1990 to 1992. Am J Public Health. 1995;85(11):1546–8.
Merkin SS, Stevenson L, Powe N. Geographic socioeconomic status, race, and advanced-stage breast cancer in New York City. Am J Public Health. 2002;92(1):64–70.
Niccolai LM, Julian PJ, Bilinski A, et al. Geographic poverty and racial/ethnic disparities in cervical cancer precursor rates in Connecticut, 2008-2009. Am J Public Health. 2013;103(1):156–63.
Wisconsin Department of Health Services, Division of Public Health, AIDS/HIV Program. Wisconsin HIV/AIDS surveillance annual review (2016). https://www.dhs.wisconsin.gov/publications/p0/p00484.pdf. Accessed April 2016.
Wisconsin Department of Health Services, Division of Public Health, AIDS/HIV Program. Reported Cases of HIV Infection, Milwaukee County, Wisconsin, 1982–2014, https://www.dhs.wisconsin.gov/publications/p0/p00766-milwaukee.pdf.
U.S. Census Bureau: State and County QuickFacts. https://www.census.gov/quickfacts/table/PST045216/00. Accessed 15 October 2015.
Wiewel EW, Bocour A, Kersanske LS, et al. The association between neighborhood poverty and HIV diagnoses among males and females in New York City, 2010-2011. Public Health Rep. 2016;131:290–302.
Sullivan PS, Peterson J, Rosenberg ES, Kelley CF, Cooper H, Vaughan A, et al. Understanding racial HIV/STI disparities in black and white men who have sex with men: a multilevel approach. PLoS ONE. 2014;9(3):e90514.
Raymond HF, Chen YH, Syme SL, Catalano R, Hutson MA, McFarland W. The role of individual and neighborhood factors: HIV acquisition risk among high-risk populations in San Francisco. AIDS Behav. 2014;18(2):346–56.
Piney Bowes, 2014. ZIP+4 Centroid Location Codes. http://support.pb.com/help/spectrum/9.2/webhelp/en/EnterpriseGeocoding/USA/USA/EnterpriseGeocoding/GeocodeUSAddress/GeocodingLocationCodes_zipplus4_centroid_location_codes.html. Accessed 21 April 2017.
Wisconsin Department of Health Services, Division of Public Health, AIDS/HIV Program. Wisconsin HIV/AIDS surveillance annual review addendum: city of Milwaukee (2015). https://www.dhs.wisconsin.gov/publications/p0/p00484a.pdf. Accessed April 2015.
Krieger N, Waterman PD, Chen JT, Soobader MJ, Subramanian SV. Monitoring socioeconomic inequalities in sexually transmitted infections, tuberculosis, and violence: geocoding and choice of area-based socioeconomic measures—the public health disparities geocoding project (US). Public Health Rep. 2003;118(3):240–60.
Krieger N, Chen JT, Waterman PD, Rehkopf DH, Subramanian SV. Painting a truer picture of US socioeconomic and racial/ethnic health inequalities: the Public Health Disparities Geocoding Project. Am J Public Health. 2005;95(2):312–23.
Krieger N, Chen JT, Waterman PD, Rehkopf DH, Yin R, Coull BA. Race/ethnicity and changing US socioeconomic gradients in breast cancer incidence: California and Massachusetts, 1978-2002 (United States). Cancer Causes Control. 2006;17(2):217–26.
Krieger N, Chen JT, Waterman PD, Rehkopf DH, Subramanian SV. Race/ethnicity, gender, and monitoring socioeconomic gradients in health: a comparison of area-based socioeconomic measures—the public health disparities geocoding project. Am J Public Health. 2003;93(10):1655–71.
Krieger N, Chen JT, Waterman PD, Soobader MJ, Subramanian SV, Carson R. Choosing area based socioeconomic measures to monitor social inequalities in low birth weight and childhood lead poisoning: the Public Health Disparities Geocoding Project (US). J Epidemiol Community Health. 2003;57(3):186–99.
Toprani A, Hadler JL. Selecting and applying a standard area-based socioeconomic status measure for public health data: analysis for New York City. EPI research report. Long Island City: New York City Department of Health and Mental Hygiene; 2013. p. 1–11.
Springer YP, Samuel MC, Bolan G. Socioeconomic gradients in sexually transmitted diseases: a geographic information system-based analysis of poverty, race/ethnicity, and gonorrhea rates in California, 2004-2006. Am J Public Health. 2010;100(6):1060–7.
Aral SO, Adimora AA, Fenton KA. Understanding and responding to disparities in HIV and other sexually transmitted infections in African Americans. Lancet. 2008;372(9635):337–40.
Buot M-LG, Docena JP, Ratemo BK, Bittner MJ, Burlew JT, Nuritdnov AR, et al. Beyond race and place: distal sociological determinants of HIV disparities. PLoS ONE. 2014;9(4):e91711.
Osypuk TL, Galea S, McArdle N, Acevedo-Garcia D. Quantifying separate and unequal: racial-ethnic distributions of neighborhood poverty in metropolitan America. Urban Aff Rev. 2009;45(1):25–65.
Do DP, Frank R, Finch BK. Does SES explain more of the black/white health gap than we thought? Revisiting our approach toward understanding racial disparities in health. Soc Sci Med. 2012;74:1385–93.
Friedman SR, Cooper HLF, Osborne AH. Structural and social contexts of HIV risk among African Americans. APJH. 2009;99(6):1002–8.
Adimora AA, Schoenbach VJ. Social context, sexual networks, and racial disparities in rates of sexually transmitted infections. J Infect Dis. 2005;191:S115–22.
Neaigus A, Reilly KH, Jenness SM, Wendel T, Marshall DM 4th, Hagan H. Multilevel risk factors for greater HIV infection of black men who have sex with men in New York City. Sex Transm Dis. 2014;41(7):433–9.
Blankenship KM, Smoyer AB, Bray SJ, Mattocks K. Black-white disparities in HIV/AIDS: the role of drug policy and the corrections system. J Health Care Poor Underserved. 2005;16(4 Suppl B):140–56.
Grey JA, Bernstein KY, Sullivan PS, Purcell DW, Chesson HW, Gift TL, et al. Estimating the population sizes of men who have sex with men in UW states and counties using data from the American Community Survey. JMIR Public Health Surveill. 2016;2(1):e14.
Mode NA, Evans MK, Zonderman AB. Race, neighborhood economic status, income inequality, and mortality. PLoS ONE. 2016;11(5):e0154535.
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This article does not contain any studies with human participants performed by any of the authors. The data used were secondary data collected as part of a mandatory reporting system for public health surveillance.
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Gibson, C., Grande, K., Schumann, C. et al. Census Tract Poverty and Racial Disparities in HIV Rates in Milwaukee County, Wisconsin, 2009–2014. AIDS Behav 22, 2994–3002 (2018). https://doi.org/10.1007/s10461-018-2064-y
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DOI: https://doi.org/10.1007/s10461-018-2064-y