title: Prevalence of the metabolic syndrome and its components in Brazilian women with polycystic ovary syndrome.
abstract: OBJECTIVE
  To determine the prevalence of the metabolic syndrome (MetS) and its components in Brazilian women with polycystic ovary syndrome (PCOS).
  
  
  METHODS
  Cross-sectional study.
  
  
  METHODS
  University Hospital, Federal University of Rio Grande do Norte, Natal-RN, Brazil.
  
  
  METHODS
  102 women with PCOS by the Rotterdam consensus criteria.
  
  
  METHODS
  None.
  
  
  METHODS
  Clinical and biochemical parameters for MetS as defined by the National Cholesterol Education Program Adult Treatment Panel (NCEP ATP III).
  
  
  RESULTS
  The prevalence for individual components of MetS were high-density lipoprotein cholesterol level <50 mg/dL in 69.6%, waist circumference >or=88 cm in 57.9%, triglyceride level >or=150 mg/dL in 31.7%, blood pressure >or=130/85 mm Hg in 18.6%, and fasting glucose concentrations >or=110 mg/dL in 2.9%. Three or more of these individual criteria were present in 29 (28.4%) of the patients. The prevalence of MetS increased with body mass index: 3.2%, 19.2% and 52.3% for normal, overweight, and obese women, respectively.
  
  
  CONCLUSIONS
  These findings indicate that Brazilian women with PCOS have a high prevalence of MetS and its individual components, particularly a decreased high-density lipoprotein cholesterol level. Thus, these women are at increased risk of diabetes mellitus and cardiovascular disease.
authors.affiliation: Departamento de Tocoginecologia, Maternidade Escola Januário Cicco, Universidade Federal do Rio Grande do Norte, Natal-RN, Brazil.
authors.forename: Elvira Maria Mafaldo
authors.initials: EM
authors.lastname: Soares
authors.forename: George Dantas
authors.initials: GD
authors.lastname: Azevedo
authors.forename: Rafael Gonçalves Nóbrega
authors.initials: RG
authors.lastname: Gadelha
authors.forename: Telma Maria Araújo Moura
authors.initials: TM
authors.lastname: Lemos
authors.forename: Técia Maria Oliveira
authors.initials: TM
authors.lastname: Maranhão
mesh_terms: D000328:Adult; D001786:Blood Glucose / Q000378:metabolism; D001794:Blood Pressure; D001938:Brazil / Q000453:epidemiology; D002318:Cardiovascular Diseases / Q000097:blood / Q000209:etiology* / Q000503:physiopathology; D008076:Cholesterol, HDL / Q000097:blood; D003430:Cross-Sectional Studies; D003920:Diabetes Mellitus / Q000097:blood / Q000209:etiology* / Q000503:physiopathology; D050171:Dyslipidemias / Q000097:blood / Q000453:epidemiology; D005260:Female; D018149:Glucose Intolerance / Q000097:blood / Q000453:epidemiology; D006801:Humans; D006973:Hypertension / Q000453:epidemiology / Q000503:physiopathology; D024821:Metabolic Syndrome / Q000097:blood / Q000150:complications / Q000453:epidemiology* / Q000503:physiopathology; D009765:Obesity / Q000097:blood / Q000453:epidemiology; D011085:Polycystic Ovary Syndrome / Q000097:blood / Q000150:complications / Q000453:epidemiology* / Q000503:physiopathology; D015995:Prevalence; D012307:Risk Factors; D014280:Triglycerides / Q000097:blood
chemical_list: D001786:Blood Glucose; D008076:Cholesterol, HDL; D014280:Triglycerides