Journal of Endocrinological Investigation

, Volume 33, Issue 6, pp 373–377 | Cite as

Temporal trends in incidence of Type 1 diabetes between 1986 and 2006 in Brazil

  • C. A. Negrato
  • J. P. L. Dias
  • M. F. Teixeira
  • A. Dias
  • M. H. Salgado
  • J. R. Lauris
  • R. M. MontenegroJr.
  • M. B. Gomes
  • L. Jovanovic
Original Article

Abstract

Background: Scarce information is available about the variation in the incidence of Type 1 diabetes in the Brazilian population in the last decades. Aim: The objective of this study was to assess the long-term trends (1986–2006) in the incidence of Type 1 diabetes in Bauru, São Paulo State, Brazil. Subjects and methods: The annual incidence of Type 1 diabetes (per 100,000 per yr) from 1986 to 2006 was determined in children ≤14 yr of age, using the capture and recapture method. Results: A total of 176 cases were diagnosed in the study population. The overall incidence was 10.4/100,000 with a range of 2.82/100,000 in 1987 to 18.49/100,000 in 2002 representing a 6.56-fold increase within the same population. The estimated incidence, using the capture and recapture method varied from 2.82/100,000 per yr in 1987 to 27.20/100,000 per yr in 2002, representing a 9.6-fold variation. The global pattern of incidence variation was categorized as high (10-19.99/100,000 per yr), and very high (≥20/100,000 per yr) in 71.43% of the study-years. Incidence was slightly higher among females, Caucasians, children in the 5–9 yr of age range and belonging to lower socio-economic classes. Most diagnoses were established during the colder months and/or with higher pluviometric indexes. Conclusions: The incidence of Type 1 diabetes in children is increasing in Bauru, São Paulo State, Brazil, and the global pattern of incidence was classified as high or very high, mainly in the last 10 yr. All Brazilian regions should be involved in the study.

Keywords

Brazilian population children incidence risk factors Type 1 diabetes 

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References

  1. 1.
    Familial insulin-dependent diabetes mellitus (IDDM) epidemiology: standardization of data for the DIAMOND Project. The WHO Multinational Project for Childhood Diabetes Group. Bull World Health Organ 1991, 69: 767–77.Google Scholar
  2. 2.
    Geographic patterns of childhood insulin-dependent diabetes mellitus. Diabetes Epidemiology Research International Group. Diabetes 1988, 37: 1113–9.CrossRefGoogle Scholar
  3. 3.
    Rewers M, LaPorte RE, King H, Tuomilehto J. Trends in the prevalence and incidence of diabetes: insulin-dependent diabetes mellitus in childhood. World Health Stat Q 1990, 41: 179–89.Google Scholar
  4. 4.
    Green A, Gale EA, Patterson CC. Incidence of childhood-onset insulin-dependent diabetes mellitus: the EURODIAB ACE Study. Lancet 1992, 339: 905–9.PubMedCrossRefGoogle Scholar
  5. 5.
    Karvonen M, Tuomilehto J, Libman I, LaPorte R. A review of the recent epidemiological data on the worldwide incidence of type 1 (insulin-dependent) diabetes mellitus. World Health Organization DIAMOND Project Group. Diabetologia 1993, 36: 883–92.PubMedCrossRefGoogle Scholar
  6. 6.
    Karvonen M, Pitkäniemi M, Pitkäniemi J, Kohtamäki K, Tajima N, Tuomilehto J. Sex difference in the incidence of insulin-dependent diabetes mellitus: an analysis of the recent epidemiological data: World Health Organization DiaMond Project Group. Diabetes Metab Rev 1997, 13: 275–91.PubMedCrossRefGoogle Scholar
  7. 7.
    Karvonen M, Viik-Kajander M, Moltchanova E, Libman I, LaPorte R, Tuomilehto J. Incidence of childhood type 1 diabetes worldwide. Diabetes Mondiale (DiaMond) Project Group. Diabetes Care 2000, 23: 1516–26.PubMedCrossRefGoogle Scholar
  8. 8.
    McLarty DG, Swai AB, Kitange HM, et al. Prevalence of diabetes and impaired glucose tolerance in rural Tanzania. Lancet 1989, 1: 871–5.PubMedCrossRefGoogle Scholar
  9. 9.
    Hugh-Jones P. Diabetes in Jamaica. Lancet 1955, 269: 891–7.PubMedCrossRefGoogle Scholar
  10. 10.
    Glass B, Li CC. The dynamics of racial intermixture: an analysis based on the American Negro. Am J Hum Genet 1953, 5: 1–4.PubMedCentralPubMedGoogle Scholar
  11. 11.
    Mac Donald MJ. Lower frequency of diabetes among hospitalized Negro than white children: theoretical implications. Acta Genet Med Gemellol (Roma) 1975, 24: 119–26.Google Scholar
  12. 12.
    MacDonald MJ. The frequencies of juvenile diabetes in American blacks and Caucasians are consistent with dominant inheritance. Diabetes 1980, 29: 110–4.PubMedCrossRefGoogle Scholar
  13. 13.
    Reitnauer PJ, Go RC, Acton RT, et al. Evidence for genetic admixture as a determinant in the occurrence of insulin-dependent diabetes mellitus in U.S. blacks. Diabetes 1982, 31: 532–7.PubMedCrossRefGoogle Scholar
  14. 14.
    Chakraborty R, Kamboh MI, Nwankwo M, Ferrell RE. Caucasian genes in American blacks: new data. Am J Hum Genet 1992, 50: 145–55.PubMedCentralPubMedGoogle Scholar
  15. 15.
    Dahlquist G, Mustonen L. Childhood onset diabetes—time trends and climatological factors. Int J Epidemiol 1994, 23: 1234–41.PubMedCrossRefGoogle Scholar
  16. 16.
    Padaiga Z, Tuomilehto J, Karvonen M,et al. Incidence trends in childhood onset IDDM in four countries around the Baltic Sea during 1983–1992. Diabetologia 1977, 40: 187–92.CrossRefGoogle Scholar
  17. 17.
    Helgason T, Danielsen R, Thorsson AV. Incidence and prevalence of type 1 (insulin-dependent) diabetes mellitus in Icelandic children 1970–1989. Diabetologia 1992, 35: 880–3.PubMedCrossRefGoogle Scholar
  18. 18.
    Shamis I, Gordon O, Albag Y, Goldsand G, Laron Z. Ethnic differences in the incidence of childhood IDDM in Israel (1965–1993). Marked increase since 1985, especially in Yemenite Jews. Diabetes Care 1997, 20: 504–8.PubMedCrossRefGoogle Scholar
  19. 19.
    WHO Multinational Project for Childhood Diabetes. WHO Diamond Project Group. Diabetes Care 1990, 13: 1062–8.CrossRefGoogle Scholar
  20. 20.
    Instituto Brasileiro de Geografia e Estatística-IBGE. http://www.ibge.gov.br (accessed on 03/01/2009).
  21. 21.
    Wenzel G. Rumo ao coraçao do Brazil. In Pelegrina, GR: Os frutos da terra: Bauru, 1896–1988. São Paulo: Marprint Ed. 1988, 29–58.Google Scholar
  22. 22.
    Malerbi DA, Franco LJ. Multicenter study of the prevalence of diabetes mellitus and impaired glucose tolerance in the urban Brazilian population aged 30–69 yr: The Brazilian Cooperative Group on the Study of Diabetes Prevalence. Diabetes Care 1992, 15: 1509–16.PubMedCrossRefGoogle Scholar
  23. 23.
    Briscoe J. Brazil: The New Challenge of Adult Health. A World Bank Country Study. Washington, DC: The International Bank for Reconstruction and Development/The World Bank, 1990.Google Scholar
  24. 24.
    Laurenti R, Fonseca LA, da Costa Júnior ML. Diabetes mellitus mortality in the municipality of São Paulo (Brazil). Evolution over a period of 79 years (1900–1978) and analysis of some aspects of the association of causes. Rev Saude Publica 1982, 16: 77–91.PubMedCrossRefGoogle Scholar
  25. 25.
    Departamento de Informática do Sistema Único de Saúde-DATA-SUS. http://datasus.gov.br (accessed on 03/01/2009).
  26. 26.
    Diagnosis and classification of diabetes mellitus. American Diabetes Association. Diabetes Care 2005, 28 (Suppl 1): 37–42.Google Scholar
  27. 27.
    Graciano MIG, Lehfeld NA, Neves Filho A. Critérios para classificação socio-econômica: elementos de atualização. Serviço Soc Realidade 1999, 8: 109–28.Google Scholar
  28. 28.
    LaPorte RE, McCarty D, Bruno G, Tajima N, Baba S. Counting diabetes in the next millennium: application of capture-recapture technology. Diabetes Care 1993, 16: 528–34.PubMedCrossRefGoogle Scholar
  29. 29.
    Verlato G, Muggeo M. Capture-recapture method in the epidemiology of type 2 diabetes: a contribution from the Verona Diabetes Study. Diabetes Care 2000, 23: 759–64.PubMedCrossRefGoogle Scholar
  30. 30.
    Tilling K. Capture-recapture methods: useful or misleading? Int J Epidemiol 2001, 30: 12–4.PubMedCrossRefGoogle Scholar
  31. 31.
    Rosner B. Fundamentals of Biostatistics. 5th ed. Boston, MA: Harvard University, Duxbury Press. 2000, 692.Google Scholar
  32. 32.
    LaPorte RE, Orchard TJ, Kuller LH et al. The Pittsburgh Insulin Dependent Diabetes Mellitus Registry: the relationship of insulin dependent diabetes mellitus incidence to social class. Am J Epidemiol 1981, 114: 379–84.PubMedGoogle Scholar
  33. 33.
    Patterson CC, Dahlquist G, Soltész G, Green A; EURODIAB ACE Study Group. Europe and Diabetes. Is childhood-onset type I diabetes a wealth-related disease? An ecological analysis of European incidence rates. Diabetologia 2001, 44 (Suppl 3): B9–16.PubMedCrossRefGoogle Scholar
  34. 34.
    Instituto de Pesquisas Meteorológicas. Série histórica de parâmetros climáticos entre 1986 e 2006. Accessed on 03/01/2009.Google Scholar
  35. 35.
    DIAMOND Project Group. Incidence and trends of childhood Type 1 diabetes worldwide 1990–1999. Diabet Med 2006, 23: 857–66.CrossRefGoogle Scholar
  36. 36.
    Padaiga Z, Tuomilehto J, Karvonen M, et al. Seasonal variation in the incidence of type 1 diabetes mellitus during 1983 to 1992 in the countries around the Baltic Sea. Diabet Med 1999, 16: 736–43.PubMedCrossRefGoogle Scholar
  37. 37.
    Onkamo P, Väänänen S, Karvonen M, Tuomilehto J. Worldwide increase in incidence of Type I diabetes—the analysis of the data on published incidence trends. Diabetologia 1999, 42: 1395–403.PubMedCrossRefGoogle Scholar
  38. 38.
    Patrick SL, Kadohiro JK, Waxman SH, et al. IDDM incidence in a multiracial population: the Hawaii IDDM Registry, 1980–1990. Diabetes Care 1997, 20: 983–7.PubMedCrossRefGoogle Scholar
  39. 39.
    Songini M, Loche M, Stabilini M, et al. The incidence of type 1 diabetes is rapidly increasing in Sardinian male army conscripts (Abstract). Diabetologia 1992, 35 (Suppl. 1): A25.Google Scholar
  40. 40.
    Karvonen M, Jäntti V, Muntoni S,et al. Comparison of the seasonal pattern in the clinical onset of IDDM in Finland and Sardinia. Diabetes Care 1998, 21: 1101–9.PubMedCrossRefGoogle Scholar
  41. 41.
    Ramos AJS, Araujo MM, Cavalcante GS, Tejo AM. Incidência do diabetes tipo I em Campina Grande-EBID-Campina Grande, Pb-Brasil. Rev Asoc Latinoam Diab 1995, 3: 82.Google Scholar
  42. 42.
    Campos JJB, Almeida HGG, Iochida L, Franco LJ. Incidência de diabetes mellitus insulino dependente (Tipo 1) na cidade de Londrina PR-Barsil/Incidence of insulin dependent diabetes mellitus (type 1) in the city of Londrina, Paraná-Brazil. Arq Bras Endocrinol Metabol 1998, 42: 36–44.Google Scholar
  43. 43.
    Lisbôa HR, Graebin R, Butzke L, Rodrigues CS. Incidence of type 1 diabetes mellitus in Passo Fundo, RS, Brazil. Braz J Med Biol Res 1998, 31: 1553–6.PubMedCrossRefGoogle Scholar
  44. 44.
    Cavalli-Sforza L, Menozzi P, Piazza A. Europe: The History and Geography of Human Genes. Princeton, NJ: Princeton University Press. 1994, 268–80.Google Scholar
  45. 45.
    Holmqvist BM, Lofman O, Samuelsson U. A low incidence of Type 1 diabetes between 1977 and 2001 in south-eastern Sweden in areas with high population density and which are more deprived. Diabet Med 2008, 25: 255–60.PubMedCrossRefGoogle Scholar

Copyright information

© Italian Society of Endocrinology (SIE) 2010

Authors and Affiliations

  • C. A. Negrato
    • 1
  • J. P. L. Dias
    • 1
  • M. F. Teixeira
    • 1
  • A. Dias
    • 2
  • M. H. Salgado
    • 3
  • J. R. Lauris
    • 4
  • R. M. MontenegroJr.
    • 5
  • M. B. Gomes
    • 6
  • L. Jovanovic
    • 7
  1. 1.Division of Diabetes, Department of EpidemiologyBauru’s Diabetics AssociationBauru
  2. 2.Division of Epidemiology, Department of EpidemiologyBotucatu Medical School, São Paulo State UniversityBotucatu
  3. 3.Research Support Center, Bauru’s Engineering School, Statistics DepartmentSão Paulo State UniversityBrazil
  4. 4.Bauru’s Dentistry School, Biostatistics DepartmentSão Paulo UniversityBauru
  5. 5.Endocrine and Diabetes Unit, Community Health Department, Faculty of MedicineFederal University of CearáFortaleza
  6. 6.Endocrine and Diabetes UnitState University of Rio de JaneiroRio de JaneiroBrazil
  7. 7.Sansum Diabetes Research InstituteSanta BarbaraUSA

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