title: Obesity is the predominant predictor of impaired glucose tolerance and metabolic disturbance in polycystic ovary syndrome.
abstract: OBJECTIVE
  To evaluate the contribution to glucose intolerance and metabolic syndrome of obesity combined with the diagnostic criteria of polycystic ovary syndrome (PCOS).
  
  
  METHODS
  Prospective study.
  
  
  METHODS
  University teaching hospital from 31 August 2010 to 31 August 2011.
  
  
  METHODS
  Two hundred and twenty women with PCOS and seventy normal control women.
  
  
  METHODS
  The clinical and biochemical characteristics of women with PCOS and control women were evaluated. Main outcome measures. The impact of obesity, hyperandrogenism, oligo-anovulation and polycystic ovary morphology on impaired glucose tolerance and metabolic disturbances.
  
  
  RESULTS
  Obese women with PCOS had significantly higher insulin resistance than obese normal control women. Logistic regression analysis showed that obesity was the only factor that predicted impaired glucose tolerance and metabolic syndrome. Use of the area under the receiver operating characteristic curve (AUROC) for the body mass index to predict impaired glucose tolerance and metabolic syndrome was more accurate than AUROCs for serum total testosterone level and the average menstrual interval.
  
  
  CONCLUSIONS
  Body weight status was the major factor determining the risk of impaired glucose tolerance and metabolic syndrome in women with PCOS. Obesity should be treated as the major factor determining long-term health consequences associated with PCOS.
authors.affiliation: Department of Obstetrics and Gynecology, Wan Fang Hospital, Taipei Medical University, Taipei, Taiwan.
authors.forename: So-Jung
authors.initials: SJ
authors.lastname: Liang
authors.forename: Tsan-Hon
authors.initials: TH
authors.lastname: Liou
authors.forename: Hui-Wen
authors.initials: HW
authors.lastname: Lin
authors.forename: Chun-Sen
authors.initials: CS
authors.lastname: Hsu
authors.forename: Chii-Ruey
authors.initials: CR
authors.lastname: Tzeng
authors.forename: Ming-I
authors.initials: MI
authors.lastname: Hsu
mesh_terms: D000328:Adult; D015415:Biomarkers / Q000097:blood; D001786:Blood Glucose / Q000378:metabolism; D015992:Body Mass Index; D016022:Case-Control Studies; D002784:Cholesterol / Q000097:blood; D005260:Female; D018149:Glucose Intolerance / Q000097:blood / Q000209:etiology*; D005951:Glucose Tolerance Test; D006801:Humans; D016015:Logistic Models; D024821:Metabolic Syndrome / Q000097:blood / Q000209:etiology*; D009765:Obesity / Q000097:blood / Q000150:complications*; D011085:Polycystic Ovary Syndrome / Q000097:blood / Q000150:complications*; D011446:Prospective Studies; D012372:ROC Curve; D014280:Triglycerides / Q000097:blood
chemical_list: D015415:Biomarkers; D001786:Blood Glucose; D014280:Triglycerides; D002784:Cholesterol