title: Prevalence of metabolic syndrome and related factors in bank employees according to different defining criteria, Vitória/ES, Brazil.
abstract: OBJECTIVE
  To determine the prevalence of metabolic syndrome and related factors in bank employees in the city of Vitória/ES, Brazil.
  
  
  METHODS
  This was a cross-sectional study that included 521 working men and women >20 years of age. Sociodemographic, lifestyle, anthropometric, biochemical, and hemodynamic characteristics were collected. Metabolic syndrome was diagnosed using the criteria of the National Cholesterol Education Program-ATPIII and the International Diabetes Federation. A logistic regression model was used to calculate the crude and adjusted OR of the variables, and the statistical level of significance was set at 5.0%.
  
  
  RESULTS
  We identified 86 (17.2%) and 113 (22.6%) subjects with metabolic syndrome according to the criteria of the National Cholesterol Education Program-ATPIII and the International Diabetes Federation, respectively. The risk of developing metabolic syndrome was higher in individuals with a high school education (OR 2.6 [CI(95%), 1.1-6.1]). In overweight and obese subjects, the risks were also higher (OR 12.6 [CI(95%), 4.8-33.2, p = 0.000] and OR 43.7% [CI(95%), 16.1-118.9, p = 0.000], respectively).
  
  
  CONCLUSIONS
  A large number of bank employees have metabolic syndrome, which can be associated with an increased risk of developing cardiovascular disease. Individuals who had college degrees had a higher prevalence of metabolic syndrome; this finding can be explained by the high rates of overweight and obesity found in subjects with college and graduate school educations.
authors: Federal University of Espírito Santo, Physiological Sciences, Postgraduate Program, Vitória/ES, Brazil. luciane.bresciani@ufes.br
authors: Luciane Bresciani
authors: LB
authors: Salaroli
authors: Renata Aubin Dias
authors: RA
authors: Saliba
authors: Eliana
authors: E
authors: Zandonade
authors: Maria del Carmen Bisi
authors: Mdel C
authors: Molina
authors: Nazaré Souza
authors: NS
authors: Bissoli
mesh_terms: D000328:Adult; D017677:Age Distribution; D000886:Anthropometry; D001938:Brazil / Q000453:epidemiology; D004812:Epidemiologic Methods; D005260:Female; D006801:Humans; D006973:Hypertension / Q000503:physiopathology; D008297:Male; D024821:Metabolic Syndrome / Q000175:diagnosis / Q000453:epidemiology*; D008875:Middle Aged; D016272:Occupational Health / Q000706:statistics & numerical data*; D050177:Overweight / Q000503:physiopathology; D012307:Risk Factors; D017678:Sex Distribution; D012959:Socioeconomic Factors; D055815:Young Adult