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Social inequalities in the prevalence of self-reported chronic non-communicable diseases in Brazil: national health survey 2013

Malta, Deborah Carvalho, Bernal, Regina Tomie Ivata, de Souza, Maria de Fatima Marinho, Szwarcwald, Celia Landman, Lima, Margareth Guimarães, Barros, Marilisa Berti de Azevedo·2016·International Journal for Equity in Health
DOI 10.1186/s12939-016-0427-4PMC PMC5112650
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  1. OMS. 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. http://dssbr.org/site/documentos-de-referencia/ .
  2. Schmidt MI, Duncan BB, Azevedo e Silva G, Menezes AM, Monteiro CA, Barreto SM, et al. Chronic noncommunicable diseases in Brazil: burden and current challenges. Lancet. 2011;377(9781):1949–61. · DOI
  3. Barros MBA, et al. Tendências das desigualdades sociais e demográficas na prevalência de doenças crônicas no Brasil, PNAD: 2003- 2008. Ciência & Saúde Coletiva. 2011;16(9):3755–68. · DOI
  4. Malta DC, Gosch CS, Buss P, Rocha DG, Rezende R, Freitas PC, et al. Doenças crônicas Não transmissíveis e o suporte das ações intersetoriais no seu enfrentamento. Ciênc saúde coletiva. 2014;19(11):4341–50. · DOI
  5. Malta DC, Morais Neto OL, Silva Junior JB. Apresentação do plano de ações estratégicas para o enfrentamento das doenças crônicas não transmissíveis no Brasil, 2011 a 2022. Epidemiol Serv Saúde. 2013;20(4):425–38. · DOI
  6. Bonita R, Magnusso R, Bovet P, Zhao D, Mata DC, McKee M, Beaglehole R, on behalf of The Lancet NCD Action Group. Contrie Action Country actions to meet UN commitments on non-communicable diseases: a stepwise approach. Lancet. 2013;381:575–84. · DOI
  7. Szwarcwald CL, Malta DC, Pereira CA, Vieira MLFP, Conde WL, et al. Pesquisa Nacional de Saúde no Brasil: concepção e metodologia de aplicação. Cien Saude Colet. 2014;19(2):333–42. · DOI · Paper page
  8. Souza-Júnior PRB, Freitas MPS, Antonaci GA, Szwarcwald CL. Sampling Design for the National Health Survey, 2013. Epidemiol Serv Saúde. 2015;24(2):207–16. · DOI
  9. Barros MBA, Cesar CLG, Carandina L, Torre GD. Desigualdades sociais na prevalência de doenças crônicas no Brasil, PNAD-2003. Cien Saude Colet. 2006;11(4):911–26. · DOI
  10. Lima-Costa MFF, Matos DL, Camargos VP, Macinko J. Tendências em dez anos das condições de saúde de idosos brasileiros: evidências da Pesquisa Nacional por Amostra de Domicílios (1998, 2003, 2008). Ciência & Saúde Coletiva. 2011;16(9):3689–96. · DOI
  11. Nogueira D, Faerstein E, Coeli CM, Chor D, Lopes CS, et al. Reconhecimento, tratamento e controle da hipertensão arterial: Estudo Pró-Saúde, Brasil. Rev Panam Salud Publ. 2010;27(2):103–9. · DOI
  12. Lima-Costa MFF, Peixoto SV, Firmo JOA. Validade da hipertensão arterial autorreferida e seus determinantes (Projeto Bambuí). Rev Saúde Públ. 2004;38(18):637–42. · DOI
  13. Lethbridge-Cejku M, Schiller JS, Bernadel L. Summary health statistics for U.S. adults: National Health Interview Survey, 2002. Vital Health Stat. 2004;10(222):1–151.
  14. Dalstra JAA, Kunst AE, Borrell C, Breeze E, Cambois E, Costa G, Geurts JJ, Lahelma E, Van Oyen H, Rasmussen NK, Regidor E, Spadea T, Mackenbach JP. Socioeconomic differences in the prevalence of common chronic diseases: an overview of eight European countries. Int J Epidemiol. 2005;34(2):316–26. · DOI
  15. Cricelli C, Mazzaglia G, Samani F, Marchi M, Sabatini A, Nardi R, Ventriglia G, Caputi AP. Prevalence estimates for chronic diseases in Italy: exploring the differences between self-report and primary care databases. J Public Health Med. 2003;25(3):254–7. · DOI
  16. Theme-Filha MM, Szwarcwald CL, Souza-Júnior PRB. Socio-demographic characteristics, treatment coverage and self-rated health of individuals who reported six chronic diseases in Brazil, 2003. Cad Saude Publica. 2005;21(Supl. 1):S43–53. · DOI
  17. Sukumar Vellakkal S; Subramanian C; Millett C; Basu S; Stuckler D; Ebrahim S; Socioeconomic Inequalities in Non-Communicable Diseases Prevalence in India: Disparities between Self-Reported Diagnoses and Standardized Measures. Plos, July 15, 2013. DOI: 10.1371/journal.pone.0068219 · DOI
  18. Mahal A, Karan A, Engelgau M. The economic implications of non communicable disease for India. Washington: World Bank; 2010. · DOI
  19. Sen A. Health: perception versus observation : Self reported morbidity has severe limitations and can be extremely misleading. BMJ. 2002;324:860–1. doi: 10.1136/bmj.324.7342.860 . · DOI
  20. Mackenbach JP, Looman CW, van der Meer JB. Differences in the misreporting of chronic conditions, by level of education: the effect on inequalities in prevalence rates. Am J Public Health. 1996;86:706–11. doi: 10.2105/ajph.86.5.706 . · DOI
  21. Gulliford M, Figueroa-Munoz J, Morgan M, Hughes D, Gibson B, et al. What does ‘access to health care’ mean? J Health Serv Res Policy. 2002;7:186–8. doi: 10.1258/135581902760082517 . · DOI
  22. Malta DC, Stopa SR, Andrade SSCA, Szwarcwald CL, Silva Júnior JB, Reis AAC. Health care in adults with self-reported hypertension in Brazil according to the National Health Survey, 2013. Rev Bras Epidemiol. 2015;18 Suppl 2:109–22. http://dx.doi.org/10.1590/1980-5497201500060010 . · DOI
  23. Viacava F, Bellido Jaime G. Health, access to services and sources of payment, according to household surveys. Ciênc Saúde Coletiva. 2016;21(2):351–70. http://dx.doi.org/10.1590/1413-81232015212.19422015 . · DOI
  24. Malta DC, Oliveira TP, Luz M, Stopa SR, Silva Junior JB, Reis AAC. Smoking trend indicators in Brazilian capitals, 2006-2013. Ciênc Saúde Coletiva. 2015;20(3):631–40. http://dx.doi.org/10.1590/1413-81232015203.15232014 . · DOI
  25. Bhan N, Srivastava S, Agrawal S, Subramanyam M, Millett C, et al. Are socioeconomic disparities in tobacco consumption increasing in India? A repeated cross-sectional multilevel analysis. BMJ Open. 2012;2:e001348. doi: 10.1136/bmjopen-2012-001348 . · DOI
  26. Meucci RD, Fassa AG, Vera MV, Paniz VMV, Silva MC, Wegman DH. Increase of chronic low back pain prevalence in a medium-sized city of southern Brazil. BMC Musculoskelet Disord. 2013;14:155. · DOI
  27. Rubin DI. Epidemiology and Risk Factors for Spine Pain. Neurol Clin. 2007;25(2007):353–71. · DOI
  28. Oliveira MM, Andrade SSCA, Souza CAV, Ponte JN, Szwarcwald CL, Malta DC. Problema crônico de coluna e diagnóstico de distúrbios osteomusculares relacionados ao trabalho (DORT) autorreferidos no Brasil: Pesquisa Nacional de Saúde, 2013. Epidemiol Serv Saúde. 2015;24(2):287–96. · DOI
  29. Frazão P, Costa CM, Almeida MF. Risks associated with tendinitis: effects from demographic, socioeconomic, and psychological status among Brazilian workers. Am J Ind Med. 2010;53(1):72–9. · DOI
  30. Hoy D, March L, Brooks P, Blyth F, Woolf A, et al. The global burden of low back pain: estimates from the Global Burden of Disease 2010 study. Ann Rheum Dis. 2014;0:1–7.
  31. Vellakkal S, Subramanian SV, Millett C, Basu S, Stuckler D, Ebrahim S. Socioeconomic inequalities in non-communicable diseases prevalence in india: disparities between self-reported diagnoses and standardized measures. PLoS One. 2013;8(7):e68219. doi: 10.1371/journal.pone.0068219 . · DOI
  32. Instituto Brasileiro de Geografia e Estatística. Pesquisa Nacional de Saúde: 2013. Acesso e utilização dos serviços de saúde. Acidentes e Violencias. Rio de Janeiro: Instituto Brasileiro de Geografia e Estatística; 2015. p. 106.
  33. Malta DC, Bernal RTI, Oliveira M. Tendências dos fatores de risco de doenças crônicas não transmissíveis, segundo a posse de planos de saúde, Brasil, 2008 a 2013. Ciênc saúde coletiva. 2015;20(4):1005–16. http://dx.doi.org/10.1590/1413-81232015204.14712014 . · DOI
  34. Ribeiro MCSA, Barata RB, Almeida MF, Silva ZP. Perfil sociodemográfico e padrão de utilização de serviços de saúde para usuários e não-usuários do SUS - PNAD 2003. Ciência Saúde Coletiva. 2006;11(4):1011–22. · DOI
  35. Okura Y, Urban LH, Mahoney DW, Jacobsen SJ, Rodeheffer RJ. Agreement between self-report questionnaires and medical record data was substantial for diabetes, hypertension, myocardial infarction and stroke but not for heart failure. J Clin Epidemiol. 2004;57(10):1096–103. · DOI

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Metadata

Authors
Malta, D. C., Bernal, R. T. I., de Souza, M. D. F. M., Szwarcwald, C. L., Lima, M. G., & Barros, M. B. D. A.
ORCID
Malta, Deborah Carvalho
Venue
International Journal for Equity in Health
Publisher
Springer Science and Business Media LLC
Published
2016-11-17
Volume
15
Issue
1
ISSN
1475-9276
DOI
10.1186/s12939-016-0427-4
PMC
PMC5112650
Cited by
101
References
2
Language
en
Funders
  • Ministry of Health of Brazil (Not Aplicable)
  • Conselho Nacional de Desenvolvimento Científico e Tecnológico (307865/2014-2)

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