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A Comparison of Social and Spatial Determinants of Health Between Formal and Informal Settlements in a Large Metropolitan Setting in Brazil

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Abstract

Urban informal settlements are often under-recognized in national and regional surveys. A lack of quality intra-urban data frequently contributes to a one-size-fits-all public health intervention and clinical strategies that rarely address the variegated socioeconomic disparities across and within different informal settlements in a city. The 2010 Brazilian census gathered detailed population and place-based data across the country's informal settlements. Here, we examined key socio-demographic and infrastructure characteristics that are associated with health outcomes in Rio de Janeiro with the census tract as the unit of analysis. Many of the city's residents (1.39 million people, 22 % of the population) live in informal settlements. Residents of census tracts in Rio de Janeiro's urban informal areas are younger, (median age of 26 versus 35 years in formal settlements), and have less access to adequate water (96 versus 99 % of informal households), sanitation (86 versus 96 %), and electricity (67 versus 92 %). Average per household income in informal settlement census tracts is less than one third that of non-informal tracts (US\$708 versus US\$2362). Even among informal settlements in different planning areas in the same city, there is marked variation in these characteristics. Public health interventions, clinical management, and urban planning policies aiming to improve the living conditions of the people residing in informal settlements, including government strategies currently underway, must consider the differences that exist between and within informal settlements that shape place-based physical and social determinants of health.

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References

  1. UN-HABITAT. The Challenge of Slums: Global Report On Human Settlements 2003. London and Sterling: Earthscan Publications Ltd; 2003.

  2. Shetty P. Health care for urban poor falls through the gap. Lancet. 2011; 377(9766): 627–628. doi:10.1016/S0140-6736(11)60215-8.

    Article  Google Scholar 

  3. Murray CJL, Vos T, Lozano R, et al. Disability-adjusted life years (DALYs) for 291 diseases and injuries in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2013; 380(9859): 2197–2223. doi:10.1016/S0140-6736(12)61689-4.

    Article  Google Scholar 

  4. Harpham T. Urban health in developing countries: what do we know and where do we go? Health Place. 2009; 15(1): 107–116. doi:10.1016/j.healthplace.2008.03.004.

    Article  PubMed  Google Scholar 

  5. Vlahov D, Agarwal SR, Buckley RM, et al. Roundtable on Urban Living Environment Research (RULER). J Urban Health. 2011; 88(5): 793–857. doi:10.1007/s11524-011-9613-2.

    Article  PubMed Central  PubMed  Google Scholar 

  6. Fotso JC. Child health inequities in developing countries: differences across urban and rural areas. Int J Equity Health. 2006; 5(1): 9–9. doi:10.1186/1475-9276-5-9.

    Article  PubMed Central  PubMed  Google Scholar 

  7. Agarwal S. The state of urban health in India; comparing the poorest quartile to the rest of the urban population in selected states and cities. Environ Urban. 2011; 23(1): 13–28. doi:10.1177/0956247811398589.

    Article  Google Scholar 

  8. Kyobutungi C, Ziraba A, Ezeh A, Yé Y. The burden of disease profile of residents of Nairobi's slums: results from a demographic surveillance system. Popul Health Metrics. 2008; 6(1): 1. doi:10.1186/1478-7954-6-1.

    Article  Google Scholar 

  9. Sclar ED, Garau P, Carolini G. The 21st century health challenge of slums and cities. Lancet. 2005; 365(9462): 901. doi:10.1016/S0140-6736(05)71049-7.

  10. Centers for Disease Control and Prevention. Establishing a Holistic Framework to Reduce Inequities in HIV, Viral Hepatitis, STDs, and Tuberculosis in the United States. Atlanta, GA: U.S. Department of Health and Human Services; 2010.

  11. Frieden TRT. A framework for public health action: the health impact pyramid. Am J Public Health (N Y). 2010; 100(4): 590–595. doi:10.2105/AJPH.2009.185652.

    Article  Google Scholar 

  12. Perlman J. Marginality: from Myth to Reality in the Favelas of Rio de Janeiro: 1969-2002. New York, NY: Lexington; 2004.

  13. Riley LW, Ko AI, Unger A, Reis MG. Slum health: diseases of neglected populations. BMC Int Health Hum Rights. 2007; 7: 2. doi:10.1186/1472-698X-7-2.

    Article  PubMed Central  PubMed  Google Scholar 

  14. Unger A, Riley LW. Slum health: from understanding to action. PLoS Med. 2007; 4(10): 1561–1566. doi:10.1371/journal.pmed.0040295.

    Article  PubMed  Google Scholar 

  15. Instituto Brasileiro de Geografia e Estatística: Conselho National de Estatística. As favelas do Distrito Federal e o Censo Demográfico de 1950. Rio de Janeiro: IBGE; 1953.

  16. Instituto Brasileiro de Geografia e Estatística. Censo Demográfico: Aglomerados Subnormais Primeiros Resultados. Rio de Janeiro: IBGE; 2010.

  17. Nunes EP. Innovations for the 2010 Brazilian Population Census. IPUMS - Global Workshop: 58th International Statistics Institute World Statistics Congress In: Dublin, Ireland; 2011.

  18. Instituto Brasileiro de Geografia e Estatística. Base de informações do Censo Demográfico 2010: Resultados do Universo por setor censitário. Rio de Janeiro: IBGE; 2010.

    Google Scholar 

  19. WHO and UNICEF. Meeting the MDG drinking water and sanitation target: the urban and rural challenge of the decade. Geneva: World Health Organization and United Nationas Children's Fund; 2006.

    Google Scholar 

  20. Gonzenbach B, Coad A. Solid Waste Management and the Millenium Development Goals: Links that Inspire Action. St Gallen: Collaborative Working Group on Solid Waste Management in Low-and Middle-Income Countries; 2007.

  21. Modi V, McDade S, Lallement D, Saghir J. Energy and the Millennium Development Goals. New York: Energy Sector Management Assistance Programme, United Nations Development Programme, UN Millennium Project, and World Bank; 2006.

  22. Aliaga-Diaz R, Montoya S. GINIDESC: Stata Module to Compute Gini Index with within- and Between-Group Inequality Decomposition [computer program]. Version 1.0 1999. Available at: http://econpapers.repec.org/software/bocbocode/s372901.htm.23.

  23. Ministério da saúde. Reorganizando o SUS no Município do Rio de Janeiro. 4o Seminário da Região Metropolitana I, Fórum de Conselhos Municipais de Saúde da Região Metropolitana I/Brasília: Distrito Federal, Brasil: Editora do Ministério da Saúde; 2005.

  24. O'Hare G, Barke M. The favelas of Rio de Janeiro: a temporal and spatial analysis. GeoJournal. 2002; 56: 225–240. doi:10.1023/A:1025134625932.

  25. Commission on Social Determinants of Health. CSDH Final Report: Closing the Gap in a Generation: Health Equity Through Action on the Social Determinants of Health. Geneva: World Health Organization; 2008.

  26. UN-HABITAT. Urban Indicators Guidelines: Monitoring the Habitat Agenda and the Millenium Development Goals—Slums Target. Nairobi: United Nations Human Settlements Programme; 2004.

  27. WHO. Urban HEART: Urban Health Equity Assessment and Response Tool. Kobe: The WHO Centre for Health Development; 2010.

  28. Sethi D, Racioppi F, Hughes K, Mitis F, Bellis M. European Report on Preventing Violence and Knife Crime Among Young People. Geneva: World Health Organization; 2010.

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Funding

This work was funded in part by a grant for the Slum Health Colloquium from the Institute of International Studies at the University of California, Berkeley, as well as a training grant from the Fogarty International Center/NIH Global Infectious Disease Research (TW006563).

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Correspondence to Jason Corburn.

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Snyder, R.E., Jaimes, G., Riley, L.W. et al. A Comparison of Social and Spatial Determinants of Health Between Formal and Informal Settlements in a Large Metropolitan Setting in Brazil. J Urban Health 91, 432–445 (2014). https://doi.org/10.1007/s11524-013-9848-1

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  • DOI: https://doi.org/10.1007/s11524-013-9848-1

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