title: Prevalence of risk factors for coronary artery disease in the Brazilian State of Rio Grande do Sul.
abstract: OBJECTIVE
  To determine the risk factors prevalence for coronary artery disease in the State of Rio Grande do Sul, Brazil and to identify their relation with the age bracket.
  
  
  METHODS
  We carried out an observational, cross-sectional study of 1,066 adults older than 20 years in the Brazilian State of Rio Grande do Sul. We investigated the risk factors: familial antecedents, systemic arterial hypertension, high levels of cholesterol and glycemia, overweight/obesity, smoking and sedentary lifestyle. A standardized questionnaire completed at the patients' dwellings by health agents were used; the data were stored in an EPI-INFO software database. The results were expressed with a 95% confidence interval.
  
  
  RESULTS
  The sample composition was of 51.8% females. The risk factors prevalences were: 1) sedentary lifestyle 71.3%; 2) familial antecedents: 57.3%; 3) overweight/obesity (body mass index >25): 54.7%; 4) smokers: 33.9%; 5) hypertension: 31.6% (considering >140/90 mm Hg) and 14.4% (considering >160/95 mm Hg); 6) high glycemia (>126 mg/dL): 7%; 7) high cholesterol >240 mg/dL): 5.6%.
  
  
  CONCLUSIONS
  The prevalence of the major risk factors for coronary artery disease in the Brazilian state of Rio Grande do Sul could be determined in a study that integrated public and private institutions.
authors.affiliation: Instituto de Cardiologia do Rio Grande do Sul, Fundação Universitária de Cardiologia, Porto Alegre.
authors.forename: Iseu
authors.initials: I
authors.lastname: Gus
authors.forename: Airton
authors.initials: A
authors.lastname: Fischmann
authors.forename: Cláudio
authors.initials: C
authors.lastname: Medina
mesh_terms: D000328:Adult; D001794:Blood Pressure; D001938:Brazil / Q000453:epidemiology; D003327:Coronary Disease / Q000453:epidemiology*; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D015995:Prevalence; D012307:Risk Factors