title: Prevalence of the metabolic syndrome in women with a previous diagnosis of polycystic ovary syndrome: long-term follow-up.
abstract: OBJECTIVE
  To examine the prevalence of the metabolic syndrome (MetS) according to the scientific statement of the American Heart Association and the US National Cholesterol Education Program/Adult Treatment Panel III in middle-aged Swedish women previously diagnosed with polycystic ovary syndrome (PCOS) in comparison with age-matched healthy controls.
  
  
  METHODS
  Long-term follow-up study.
  
  
  METHODS
  Department of Obstetrics and Gynecology, Uppsala University.
  
  
  METHODS
  Eighty-four women diagnosed with PCOS between 1987 and 1995; and 87 controls randomly selected from the general population.
  
  
  METHODS
  Anthropometric measurements and blood tests.
  
  
  METHODS
  Body mass index, waist circumference, blood pressure, lipids, and glucose.
  
  
  RESULTS
  The prevalence of MetS in women with PCOS (mean ± SD age, 43.0 ± 5.8 years) was 23.8% and in controls was 8.0%, and it did not differ according to PCOS phenotype at the index assessment (polycystic ovaries [PCO], oligomenorrhea, and hirsutism: 10 [22.7%]; PCO and oligomenorrhea: 8 [22.2%]) or according to the persistence of PCOS features at follow-up (persisting PCOS: 25.8%; resolved PCOS: 16.7%).
  
  
  CONCLUSIONS
  The MetS occurred more often in patients with PCOS than in controls and did not depend on phenotypic presentation at the index assessment or the persistence of PCOS at follow-up.
authors.affiliation: Department of Women's and Children's Health, Uppsala University, Sweden. miriam.hudecova@kbh.uu.se
authors.forename: Miriam
authors.initials: M
authors.lastname: Hudecova
authors.forename: Jan
authors.initials: J
authors.lastname: Holte
authors.forename: Matts
authors.initials: M
authors.lastname: Olovsson
authors.forename: Anders
authors.initials: A
authors.lastname: Larsson
authors.forename: Christian
authors.initials: C
authors.lastname: Berne
authors.forename: Inger
authors.initials: I
authors.lastname: Sundstrom-Poromaa
mesh_terms: D000328:Adult; D000704:Analysis of Variance; D015415:Biomarkers / Q000097:blood; D001786:Blood Glucose / Q000378:metabolism; D001794:Blood Pressure; D015992:Body Mass Index; D016022:Case-Control Studies; D005260:Female; D005500:Follow-Up Studies; D006628:Hirsutism / Q000453:epidemiology; D006801:Humans; D016014:Linear Models; D008055:Lipids / Q000097:blood; D024821:Metabolic Syndrome / Q000097:blood / Q000175:diagnosis / Q000453:epidemiology* / Q000503:physiopathology; D008875:Middle Aged; D009839:Oligomenorrhea / Q000453:epidemiology; D010641:Phenotype; D011085:Polycystic Ovary Syndrome / Q000175:diagnosis / Q000453:epidemiology*; D015995:Prevalence; D018570:Risk Assessment; D012307:Risk Factors; D013548:Sweden / Q000453:epidemiology; D013997:Time Factors; D055105:Waist Circumference
chemical_list: D015415:Biomarkers; D001786:Blood Glucose; D008055:Lipids