title: Metabolic syndrome in women with polycystic ovary syndrome: prevalence, characteristics and predictors.
abstract: The aim of this study was to determine the prevalence of metabolic syndrome in women with polycystic ovary syndrome, as well as its characteristics and predictors. Seventh-three women, with body mass index of 30.4 +/- 7.8 kg/m2 and 25.0 +/- 6.0 years old, subdivided according to body mass index, were studied retrospectively. There was no significant mean age difference among body mass index groups (p = 0.228). Prevalence of metabolic syndrome was 38.4%, with a null prevalence for normal (n = 18), 23.8% for overweight (n = 17), 62.9% for obese (n = 28), and 85.5% for morbidly obese women (n = 7). Women with metabolic syndrome were older than women without metabolic syndrome (27.3 +/- 5.3 vs. 24.2 +/- 4.6 vs. years old; p = 0.031) and presented a higher body mass index (36.3 +/- 7.7 vs. 26.9 +/- 5.4; p < 0.001). There was no difference for degree of hirsutism and menstrual patterns between women with and without metabolic syndrome (p = 0.593 and p = 0.119, respectively). Regarding laboratory parameters, DHEAS was lower (1,646 +/- 1,007 vs. 2,594 +/- 1,563; p = 0.007) and HOMA-IR were higher (9.9 +/- 9.7 vs. 4.6 +/- 4.7; p = 0.004) in women with metabolic syndrome (p = 0.031 and p < 0.001, respectively). The best predictors of metabolic syndrome were waist circumference > 88 cm, HDL-cholesterol < 50 mg/dL and triglycerides >or= 150 mg/dL.
authors.affiliation: Endocrine Unit, Hospital das Clínicas de São Paulo, SP. marcondesmd@uol.com.br
authors.forename: José Antonio M
authors.initials: JA
authors.lastname: Marcondes
authors.forename: Sylvia A Y
authors.initials: SA
authors.lastname: Hayashida
authors.forename: Cristiano R G
authors.initials: CR
authors.lastname: Barcellos
authors.forename: Michelle P
authors.initials: MP
authors.lastname: Rocha
authors.forename: Gustavo A R
authors.initials: GA
authors.lastname: Maciel
authors.forename: Edmund C
authors.initials: EC
authors.lastname: Baracat
mesh_terms: D000328:Adult; D015415:Biomarkers / Q000097:blood; D001786:Blood Glucose; D015992:Body Mass Index; D001938:Brazil / Q000453:epidemiology; D008076:Cholesterol, HDL / Q000097:blood; D005260:Female; D006801:Humans; D007333:Insulin Resistance; D024821:Metabolic Syndrome / Q000097:blood / Q000453:epidemiology*; D009765:Obesity / Q000453:epidemiology; D011085:Polycystic Ovary Syndrome / Q000097:blood / Q000453:epidemiology*; D015995:Prevalence; D012189:Retrospective Studies; D012680:Sensitivity and Specificity; D014280:Triglycerides / Q000097:blood; D055105:Waist Circumference
chemical_list: D015415:Biomarkers; D001786:Blood Glucose; D008076:Cholesterol, HDL; D014280:Triglycerides