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Hypertension in a Brazilian Urban Slum Population

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Abstract

Low- and middle-income countries account for the majority of hypertension disease burden. However, little is known about the distribution of this illness within subpopulations of these countries, particularly among those who live in urban informal settlements. A cross-sectional hypertension survey was conducted in 2003 among 5649 adult residents of a slum settlement in the city of Salvador, Brazil. Hypertension was defined as either an elevated arterial systolic (≥140 mmHg) or diastolic (≥90 mmHg) blood pressure. Sex-specific multivariable models of systolic blood pressure were constructed to identify factors associated with elevated blood pressure. The prevalence of hypertension in the population 18 years and older was 21 % (1162/5649). Men had 1.2 times the risk of hypertension compared with women (95 % confidence intervals (CI), 1.05, 1.36). Increasing age and lack of any schooling, particularly for women, were also significantly associated with elevated blood pressure (p < 0.05). There was also a direct association between men who were black and an elevated blood pressure. Among those who were hypertensive, 65.5 % were aware of their condition, and only 36.3 % of those aware were actively using anti-hypertensive medications. Men were less likely to be aware of their diagnosis or to use medications (p < 0.01 for both) than women. The prevalence of hypertension in this slum community was lower than reported frequencies in the non-slum population of Brazil and Salvador, yet both disease awareness and treatment frequency were low. Further research on hypertension and other chronic non-communicable diseases in slum populations is urgently needed to guide prevention and treatment efforts in this growing population.

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References

  1. 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. 2013;380(9859):2197–2223. doi:10.1016/S0140-6736(12)61689-4.

  2. Lim SS, Vos T, Flaxman AD, et al. A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990–2010: a systematic analysis for the Global Burden of Disease Study 2010. Lancet. 2012; 380(9859): 2224–2260. doi:10.1016/S0140-6736(12)61766-8.

    Article  PubMed Central  PubMed  Google Scholar 

  3. World Health Organization. Fact sheet: the top ten causes of death. Fact sheet. 2008;(310). Available at: http://www.who.int/healthinfo/global_burden_disease/cod_2008_sources_methods.pdf. Accessed 23 Aug 2014.

  4. World Health Organization. A global brief on hypertension: silent killer, global public health crisis. Geneva: WHO Press; 2013. Available at: http://www.who.int/cardiovascular_diseases/publications/global_brief_hypertension/en/.

  5. Kearney PM, Whelton M, Reynolds K, Muntner P, Whelton PK, He J. Global burden of hypertension: analysis of worldwide data. Lancet. 2005;365(9455):217–223. doi:10.1016/S0140-6736(05)17741-1.

  6. Strong K, Mathers C, Leeder S, Beaglehole R. Preventing chronic diseases: how many lives can we save? Lancet. 2005;366(9496):1578–1582. doi:10.1016/S0140-6736(05)67341-2.

  7. Horton R. The neglected epidemic of chronic disease. Lancet. 2005;366(9496):1514. doi:10.1016/S0140-6736(05)67454-5.

  8. Kearney PM, Whelton M, Reynolds K, Whelton PK, He J. Worldwide prevalence of hypertension: a systematic review. J Hypertens. 2004; 22(1): 11–19. doi:10.1097/01.hjh.0000098149.70956.79.

    Article  CAS  PubMed  Google Scholar 

  9. Tailakh A, Evangelista LS, Mentes JC, Pike NA, Phillips LR, Morisky DE. Hypertension prevalence, awareness, and control in Arab countries: a systematic review. Nurs Health Sci. 2013; 16(1): 126–130. doi:10.1111/nhs.12060.

    Article  PubMed Central  PubMed  Google Scholar 

  10. Sitthi-Amorn C, Chandraprasert S, Bunnag SC, Plengvidhya CS. The prevalence and risk factors of hypertension in Klong Toey slum and Klong Toey government apartment houses. Int J Epidemiol. 1989; 18(1): 89–94.

    Article  CAS  PubMed  Google Scholar 

  11. Daniel OJ, Adejumo OA, Adejumo EN, Owolabi RS, Braimoh RW. Prevalence of hypertension among urban slum dwellers in Lagos, Nigeria. J Urban Health. 2013. doi:10.1007/s11524-013-9795-x.

    Google Scholar 

  12. Banerjee A, Nikumb VB, Thakur RP. Health problems among the elderly: a cross-sectional study. Ann Med Health Sci Res. 2013; 3(1): 19. doi:10.4103/2141-9248.109466.

    Article  PubMed Central  PubMed  Google Scholar 

  13. Anchala R, Kannuri NK, Pant H, et al. Hypertension in India. J Hypertens. 2014; 32(6): 1170–1177. doi:10.1097/HJH.0000000000000146.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  14. Picon RV, Fuchs FD, Moreira LB, Riegel G, Fuchs SC. Trends in prevalence of hypertension in Brazil: a systematic review with meta-analysis. Baradaran HR, ed. PLoS ONE. 2012;7(10):e48255. doi:10.1371/journal.pone.0048255.s004.

  15. Ayah R, Joshi MD, Wanjiru R, et al. A population-based survey of prevalence of diabetes and correlates in an urban slum community in Nairobi, Kenya. BMC Public Health. 2013; 13(1): 371.

    Article  PubMed Central  PubMed  Google Scholar 

  16. van de Vijver SJM, Oti SO, Agyemang C, Gomez GB, Kyobutungi C. Prevalence, awareness, treatment and control of hypertension among slum dwellers in Nairobi, Kenya. J Hypertens. 2013; 31(5): 1018–1024. doi:10.1097/HJH.0b013e32835e3a56.

    Article  PubMed  Google Scholar 

  17. Marins VMR, Almeida RMVR, Pereira RA, Sichieri R. The association between socioeconomic indicators and cardiovascular disease risk factors in Rio de Janeiro, Brazil. J Biosoc Sci. 2006; 39(02): 221. doi:10.1017/S0021932006001246.

    Article  PubMed  Google Scholar 

  18. Joshi M, Ayah R, Njau E, et al. Prevalence of hypertension and associated cardiovascular risk factors in an urban slum in Nairobi, Kenya: a population-based survey. BMC Public Health. 2014; 14(1): 1177. doi:10.1186/1471-2458-14-1177.

    Article  PubMed Central  PubMed  Google Scholar 

  19. Ribeiro GS, Tartof SY, Oliveira DWS, et al. Surgery for valvular heart disease: a population-based study in a Brazilian urban center. Akhter SA, ed. PLoS ONE. 2012;7(5):e37855–7. doi:10.1371/journal.pone.0037855.

  20. United Nations Human Settlement Programme (UN-Habitat). State of the world's cities 2012/2013. Nairobi, Kenya: UN-Habitat; 2012.

  21. United Nations Human Settlement Programme (UN-Habitat). The challenge of slums: global report on human settlements 2003. London and Sterling, VA, USA: Earthscan Publications Ltd; 2003.

  22. 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 

  23. Paim J, Travassos C, Almeida C, Bahia L, Macinko J. The Brazilian health system: history, advances, and challenges. Lancet. 2011;377(9779):1778–1797. doi:10.1016/S0140-6736(11)60054-8.

  24. Schmidt MI, Duncan BB, Menezes AM, et al. Chronic non-communicable diseases in Brazil: burden and current challenges. Lancet. 2011; 377(9781): 1949–1961. doi:10.1016/S0140-6736(11)60135-9.

    Article  PubMed  Google Scholar 

  25. Victora CG, Aquino EM, do Carmo Leal M, Monteiro CA, Barros FC, Szwarcwald CL. Maternal and child health in Brazil: progress and challenges. Lancet. 2011; 377(9780): 1863–1876. doi:10.1016/S0140-6736(11)60138-4.

    Article  PubMed  Google Scholar 

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

  27. Patel RB, Burke TF. Urbanization—an emerging humanitarian disaster. N Engl J Med. 2009; 361(8): 741–743. doi:10.1056/NEJMp0810878.

    Article  CAS  PubMed  Google Scholar 

  28. Hacker KP, Seto KC, Costa F, et al. Urban slum structure: integrating socioeconomic and land cover data to model slum evolution in Salvador, Brazil. Int J Health Geogr. 2013; 12(1): 45. doi:10.1186/1476-072X-12-45.

    Article  PubMed Central  PubMed  Google Scholar 

  29. Reis RB, Ribeiro GS, Felzemburgh RDM, et al. Impact of environment and social gradient on Leptospira infection in urban slums. Gurtler RE, ed. PLoS Negl Trop Dis. 2008;2(4):e228. doi:10.1371/journal.pntd.0000228.

  30. Shei A, Costa F, Reis MG, Ko AI. The impact of Brazil’s Bolsa Família conditional cash transfer program on children’s health care utilization and health outcomes. BMC Int Health Hum Rights. 2014; 14(1): 10. doi:10.1186/1472-698X-14-10.

    Article  PubMed Central  PubMed  Google Scholar 

  31. Felzemburgh RDM, Ribeiro GS, Costa F, et al. Prospective study of leptospirosis transmission in an urban slum community: role of poor environment in repeated exposures to the Leptospira agent. PLoS Negl Trop Dis. 2014; 8(5): e2927. doi:10.1371/journal.pntd.0002927.

    Article  PubMed Central  PubMed  Google Scholar 

  32. Chobanian AVA, Bakris GLG, Black HRH, et al. Seventh report of the Joint National Committee on prevention, detection, evaluation, and treatment of high blood pressure. Hypertension. 2003; 42(6): 1206–1252. doi:10.1161/01.HYP.0000107251.49515.c2.

    Article  CAS  PubMed  Google Scholar 

  33. James PA, Oparil S, Carter BL, et al. Evidence-based guideline for the management of high blood pressure in adults. JAMA. 2014. doi:10.1001/jama.2013.284427. 2013.

    Google Scholar 

  34. Ministério da Saúde, Secretaria de Gestão Estratégica e Participativa, Secretaria de Vigilância em Saúde. Vigitel Brasil 2007: Vigilância De Fatores De Risco E Proteção Para Doenças Crônicas Por Inquérito Telefônico. Ministério da Saúde: Brasília; 2008.

  35. Lessa I, Magalhães L, Araújo MJ, de Almeida Filho N, Aquino E, Oliveira MMC. Arterial hypertension in the adult population of Salvador (BA)–Brazil. Arq Bras Cardiol. 2006; 87(6): 747–756.

    Article  PubMed  Google Scholar 

  36. Guimarães AC. Hypertension in Brazil. J Hum Hypertens. 2002; 16(Suppl 1): S7–S10. doi:10.1038/sj.jhh.1001332.

    Article  PubMed  Google Scholar 

  37. Snyder RE, Jaimes G, Riley LW, Faerstein E, Corburn J. A comparison of social and spatial determinants of health between formal and informal settlements in a large metropolitan setting in Brazil. J Urban Health. 2014; 91(3): 432–445. doi:10.1007/s11524-013-9848-1.

    Article  PubMed Central  PubMed  Google Scholar 

  38. Lessa I. Doenças crônicas não-transmissíveis no Brasil: um desafio para a complexa tarefa da vigilância. Cien Saude Colet. 2004; 9(4): 931–943. doi:10.1590/S1413-81232004000400014.

    Article  Google Scholar 

  39. Lanas F, Avezum A, Bautista LE, et al. Risk factors for acute myocardial infarction in Latin America: the INTERHEART Latin American study. Circulation. 2007; 115(9): 1067–1074. doi:10.1161/CIRCULATIONAHA.106.633552.

    Article  PubMed  Google Scholar 

  40. Bovet P, Ross AG, Gervasoni JP, et al. Distribution of blood pressure, body mass index and smoking habits in the urban population of Dar es Salaam, Tanzania, and associations with socioeconomic status. Int J Epidemiol. 2002;31(1):240–247. doi:10.1093/ije/31.1.240.

  41. Fuentes R, Ilmaniemi N, Laurikainen E, Tuomilehto J, Nissinen A. Hypertension in developing economies: a review of population-based studies carried out from 1980 to 1998. J Hypertens. 2000; 18(5): 521–529.

    Article  CAS  PubMed  Google Scholar 

  42. Go AS, Mozaffarian D, Roger VL, et al. Heart disease and stroke statistics—2013 update: a report from the American Heart Association. Circulation. 2013; 127(1): e6–e245. doi:10.1161/CIR.0b013e31828124ad.

    Article  PubMed  Google Scholar 

  43. Doumas M, Papademetriou V, Faselis C, Kokkinos P. Gender differences in hypertension: myths and reality. Curr Hypertens Rep. 2013; 15(4): 321–330. doi:10.1007/s11906-013-0359-y.

    Article  PubMed  Google Scholar 

  44. de Moraes SA, Lopes DA, de Freitas ICM. Sex-specific differences in prevalence and in the factors associated to the search for health services in a population based epidemiological study. Rev Bras Epidemiol. 2014; 17(2): 323–340. doi:10.1590/1809-4503201400020004ENG.

    Article  PubMed  Google Scholar 

  45. de Oliveira Campos Miquilin I, Marin-Leon L, Monteiro MI, Correa Filho HR. Inequalities in health services access and use among formal, informal, and unemployed workers, based on data from the Brazilian National Household Sample Survey, 2008. Cad Saude Publica. 2013;29(7):1392–1406.

    Article  Google Scholar 

  46. de Moreira JPL, de Moraes JR, Luiz RR. Use of medical consultations and the occurrence of systemic arterial hypertension in urban and rural areas of Brazil, according to PNAD data 2008. Cien Saude Colet. 2011;16(9):3781–3793.

    Article  PubMed  Google Scholar 

  47. Mendoza-Sassi R, Béria JU, Barros AJD. Outpatient health service utilization and associated factors: a population-based study. Rev Saude Publica. 2003; 37(3): 372–378. doi:10.1590/S0034-89102003000300017.

    Article  PubMed  Google Scholar 

  48. Gao Y, Chen G, Tian H, et al. Prevalence of hypertension in China: a cross-sectional study. PLoS ONE. 2013. doi:10.1371/journal.pone.0065938.g001.

    Google Scholar 

  49. Ministério da Saúde, Secretaria de Gestão Estratégica e Participativa, Secretaria de Vigilância em Saúde. Vigitel Brasil 2012: Vigilância De Fatores De Risco E Proteção Para Doenças Crônicas Por Inquérito Telefônico. Ministério da Saúde: Brasília; 2013.

  50. Heitzinger K, Montano SM, Hawes SE, Alarcón JO, Zunt JR. A community-based cluster randomized survey of noncommunicable disease and risk factors in a peri-urban shantytown in Lima, Peru. BMC Int Health Hum Rights. 2014; 14(1): 19. doi:10.1186/1472-698X-14-19.

    Article  PubMed Central  PubMed  Google Scholar 

  51. Anand K, Shah B, Yadav K, et al. Are the urban poor vulnerable to non-communicable diseases? A survey of risk factors for non-communicable diseases in urban slums of Faridabad. Natl Med J India. 2007; 20(3): 115–120.

    CAS  PubMed  Google Scholar 

  52. Mendis S, Chestnov O. The global burden of cardiovascular diseases: a challenge to improve. Curr Cardiol Rep. 2014; 16(5): 486. doi:10.1007/s11886-014-0486-3.

    Article  PubMed  Google Scholar 

  53. Tibazarwa KB, Damasceno AA. Hypertension in developing countries. Can J Cardiol. 2014; 30(5): 527–533. doi:10.1016/j.cjca.2014.02.020.

    Article  PubMed  Google Scholar 

  54. Yusuf S, Reddy S, Ounpuu S, Anand S. Global burden of cardiovascular diseases: part i: general considerations, the epidemiologic transition, risk factors, and impact of urbanization. Circulation. 2001; 104(22): 2746–2753. doi:10.1161/hc4601.099487.

    Article  CAS  PubMed  Google Scholar 

  55. Sclar ED, Garau P, Carolini G. The 21st century health challenge of slums and cities. Lancet. 2005; 365(9462): 901.

    Article  PubMed  Google Scholar 

  56. 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 

  57. Kanungo S, Tsuzuki A, Deen JL, et al. Use of verbal autopsy to determine mortality patterns in an urban slum in Kolkata, India. Bull World Health Organ. 2010; 88(9): 667–674. doi:10.2471/BLT.09.073742.

    Article  PubMed Central  PubMed  Google Scholar 

  58. Hunter DJ, Reddy KS. Noncommunicable Dis. 2013; 369(14): 1336–1343. doi:10.1056/NEJMra1109345.

    CAS  Google Scholar 

  59. Awad M, Ruzza A, Mirocha J, et al. Prevalence of hypertension in the Gambia and Sierra Leone, western Africa: a cross-sectional study. Cardiovasc J Afr. 2014; 25: 1–10. doi:10.5830/CVJA-2014-058.

    Article  Google Scholar 

  60. Nwankwo T, Yoon SS, Burt V, Gu Q. Hypertension among adults in the United States: national health and nutrition examination Survey, 2011–2012. NCHS Data Brief. 2013; 133: 1–8.

    PubMed  Google Scholar 

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Acknowledgments

Other members of the Pau da Lima Urban Health Team included Rosan Barbosa, Reinaldo Barreto, Jorge Costa, Maria Raimunda da Cruz, Ana Carla Duarte, Leila Gouveia, Analéa Lima, Simone Nascimento, Osmar Paixão, Amaro Silva, and Érika Sousa from the Oswaldo Cruz Foundation and the Residents’ Association of Pau da Lima, Salvador, Brazil. We would like to thank Claudio Pereira da Sá, Edilane Gouveia, and Marília Sá Carvalho for the assistance with the preliminary statistical analysis, and Salvatore Cala and Emanuel Costa for their support with data management and administration, as well as the Pau da Lima Health District and the Municipal Secretary of Health of Salvador for coordinating care for those enrolled in the study. Lastly, this work could not have been accomplished without the joint collaborative effort of the Residents’ Associations, leaders, and members of the Pau da Lima community.

Author Contributions

AK, RF, VC, and FS formulated the original idea and designed the study together with the resident associations of Pau da Lima. RF, SM, VC, AM, RR, and FS collected the data. MR and AK supervised the field team. AU and RS performed the data analysis. AU wrote the initial draft with RS. AK, LR, and GR critically reviewed the manuscript and helped to prepare the final version. All authors approved the final manuscript prior to submission.

Funding

This work was supported by the Brazilian National Research Council (grant 300.861/96-6), Oswaldo Cruz Foundation (grant 0250.250.102), and the US National Institutes of Health (grants R01 AI052473, U01 AI088752, D43 TW00919, R25 TW009338). A Unger was supported by a Fogarty International Center/Ellison Medical Foundation Fellowship in Global Health and Clinical Research (grant TW00018).

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Correspondence to Alon Unger.

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Ridalva D. M. Felzemburgh and Robert E. Snyder contributed equally to this work.

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Unger, A., Felzemburgh, R.D.M., Snyder, R.E. et al. Hypertension in a Brazilian Urban Slum Population. J Urban Health 92, 446–459 (2015). https://doi.org/10.1007/s11524-015-9956-1

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