title: [Relation of adult mortality and socioeconomical data on metropolitan regions of Brazil].
abstract: OBJECTIVE
  To evaluate the association between the adult mortality, in the age range between 10 and 64 years old in 2000, and socioeconomic indicators for 16 metropolitan regions of Brazil.
  
  
  METHODS
  From the datas of the Mortality System from the Ministry of Heath, were calculated the crude mortality rates (CMR) to all the causes of dead and sex, for the 16 metropolitan regions in Brazil. As a form of guarantee the spacial camparability, the CMR were standardized by age and sex, achieving the total mortality-standardized rates and for sex by the direct method of standardization. The correlation of Pearson was obtained for the 9 indicators and the analysis of cluster was used for the agroupment of the metropolitan regions.
  
  
  RESULTS
  The matrix of correlation of Pearson showed significant correlation only between the TMSR, the urbanization degree and residence with rubbish collection. Three groups of metropolitan regions were identified.
  
  
  CONCLUSIONS
  The analysis of agroupment identified three groups: 1--Porto Alegre, São Paulo, Vitória, Curitiba, Maceió, Rio de Janeiro e recife; 2--Florianópolis, Natal, Fortaleza, Brasília e São Luís e 3--Goiânia, Belo Horizonte, Salvador e Belém, that showed be significantly different by analysis of variance (P = 0.000).
authors.affiliation: Departamento de Estatística da Universidade Federal do Rio Grande do Norte.
authors.forename: Mardone Cavalcante
authors.initials: MC
authors.lastname: França
authors.forename: Cleyber Nascimento
authors.initials: CN
authors.lastname: Medeiros
mesh_terms: D000293:Adolescent; D000328:Adult; D017677:Age Distribution; D001938:Brazil / Q000453:epidemiology; D002423:Cause of Death; D002648:Child; D016000:Cluster Analysis; D004781:Environmental Exposure; D005260:Female; D006305:Health Status Indicators; D006801:Humans; D008297:Male; D008875:Middle Aged; D009026:Mortality / Q000639:trends*; D017678:Sex Distribution; D012959:Socioeconomic Factors; D014504:Urban Health / Q000706:statistics & numerical data; D014507:Urbanization