title: Inequities in intraurban areas in the distribution of risk factors for non communicable diseases, Belo Horizonte, 2010.
abstract: OBJECTIVE
  In order to identify intraurban differentials, the prevalence of major protection and risk factors for non communicable chronic diseases were analyzed in nine health districts of Belo Horizonte, Minas Gerais, Brazil.
  
  
  METHODS
  Analysis of data from a telephone survey conducted with 2,000 adults in Belo Horizonte, in 2010, using the average linkage method for cluster analysis among the health districts, using sociodemographic variables (education, race and marital status). The study compared the prevalence of risk factors for non communicable diseases among the health districts.
  
  
  RESULTS
  Four clusters were identified. The best socio-demographic indicators were found in cluster 4 (South Central health district), which also showed a higher prevalence of protective factors such as higher consumption of fruits and vegetables, higher frequency of physical activity practice in the free time, use of ultraviolet protection, higher proportion of ex-smokers, and lower prevalence of whole milk and high-fat meat consumption. As a risk factor, cluster 4 showed a higher proportion of alcohol abuse. Cluster 1, with the worst socio-demographic indicators, concentrated more risk factors such as consumption of whole milk, low regular consumption of fruit and vegetables, and lower practice of physical activity in the free time. The most frequent protective indicators in cluster 1 were the regular consumption of beans, having breakfast at home, and lower alcohol abuse.
  
  
  CONCLUSIONS
  Intra-urban differences were found in the distribution of risk and protection factors or non transmissible diseases, these differences can support planning aimed at actions for greater equity in health.
authors.affiliation: Secretariat of Health Surveillance, Ministry of Health, Brasília, DF, Brazil.
authors.forename: Deborah Carvalho
authors.initials: DC
authors.lastname: Malta
authors.affiliation: School of Public health, Universidade de São Paulo, São Paulo, SP, Brazil.
authors.forename: Regina Ivata Tomie
authors.initials: RI
authors.lastname: Bernal
authors.affiliation: Muncipal Secretariat of Health of Belo Horizonte, Belo Horizonte, MG, Brazil.
authors.forename: Maria Cristina de Mattos
authors.initials: MC
authors.lastname: Almeida
authors.affiliation: Muncipal Secretariat of Health of Belo Horizonte, Belo Horizonte, MG, Brazil.
authors.forename: Lenice Harumi
authors.initials: LH
authors.lastname: Ishitani
authors.affiliation: Muncipal Secretariat of Health of Belo Horizonte, Belo Horizonte, MG, Brazil.
authors.forename: Anne Marielle
authors.initials: AM
authors.lastname: Girodo
authors.affiliation: Muncipal Secretariat of Health of Belo Horizonte, Belo Horizonte, MG, Brazil.
authors.forename: Lucia Maria Miana Mattos
authors.initials: LM
authors.lastname: Paixão
authors.affiliation: Muncipal Secretariat of Health of Belo Horizonte, Belo Horizonte, MG, Brazil.
authors.forename: Maria Tereza da Costa
authors.initials: MT
authors.lastname: Oliveira
authors.affiliation: Muncipal Secretariat of Health of Belo Horizonte, Belo Horizonte, MG, Brazil.
authors.forename: Fabiano Geraldo
authors.initials: FG
authors.lastname: Pimenta Junior
authors.affiliation: Secretariat of Health Surveillance, Ministry of Health, Brasília, DF, Brazil.
authors.forename: Jarbas Barbosa da
authors.initials: JB
authors.lastname: Silva Júnior
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D001938:Brazil / Q000453:epidemiology; D002908:Chronic Disease / Q000453:epidemiology*; D016000:Cluster Analysis; D003430:Cross-Sectional Studies; D005260:Female; D054624:Health Status Disparities; D006801:Humans; D008297:Male; D008875:Middle Aged; D012307:Risk Factors; D014504:Urban Health; D055815:Young Adult