title: Does the risk of metabolic disorders increase among women with polycystic ovary morphology? A population-based study.
abstract: Is polycystic ovary morphology (PCOM) associated with metabolic syndrome (MS), insulin resistance (IR) and dyslipidemia?
  
  
  
  No associations between PCOM and metabolic disorders were found.
  
  
  
  Polycystic ovary morphology has a prevalence of 21-63% in healthy women of reproductive age. Results of studies focusing on metabolic abnormalities among females with PCOM, are insufficient and controversial.
  
  
  
  This was a cross-sectional population-based study from five provinces in Iran. A standard questionnaire was filled out during face-to-face interviews and clinical examinations were done. All study subjects were invited to undergo blood sampling and ultrasonographic assessment.
  
  
  
  From a total of 1772 women, 809 participants met the inclusion criteria of this study, i.e. non-pregnant, reproductive-age, ovulatory, normo-androgenic, without hyperprolactinemia/thyroid dysfunction. Participants were divided into two groups; 126 women with PCOM on ultrasound assessment, as the case and 683 women with normal ovarian morphology, as the control groups. The association of PCOM with MS, IR and dyslipidemia were analyzed using logistic regression models, adjusted for confounding variables.
  
  
  
  Mean systolic blood pressure (SBP), high density lipoprotein (HDL) and androstenedione (A4) serum levels of women with PCOM were significantly higher than in the normal group (P = 0.04, 0.05 and 0.008, respectively). Comparison between groups revealed dyslipidemia to be higher among controls. However the results of logistic regression models, after adjustment for possible confounding variables showed that there were no significant association between prevalence of MS, IR and dyslipidemia with PCOM.
  
  
  
  Due to the study being cross-sectional, blood samples were collected only once thus we did not measure serum concentrations of progesterone in the luteal phase, which determines subclinical anovulation. Moreover, due to budget limitations, enzyme immunoassay was used for androgenic measurements while mass spectrometry-based assays have been known as the gold standard method. However we defined our groups very strictly to overcome these limitations.
  
  
  
  It seems that biochemical and metabolic characteristics of women with PCOM do not differ significantly to those of normal women. To clarify the association between PCOM and metabolic characteristics, longitudinal studies investigating long-term metabolic disorders among women with PCOM are highly recommended.
  
  
  
  No external funding was used for this study. No conflicts of interest are declared.
authors.affiliation: Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, 24 Parvaneh, Yaman Street, Velenjak, PO Box 19395-4763, Tehran, Iran.
authors.forename: M
authors.initials: M
authors.lastname: Bahri Khomami
authors.affiliation: Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, 24 Parvaneh, Yaman Street, Velenjak, PO Box 19395-4763, Tehran, Iran ramezani@endocrine.ac.ir fah.tehrani@g.mail.com framezan@post.harvard.edu.
authors.forename: F
authors.initials: F
authors.lastname: Ramezani Tehrani
authors.affiliation: Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, 24 Parvaneh, Yaman Street, Velenjak, PO Box 19395-4763, Tehran, Iran.
authors.forename: S
authors.initials: S
authors.lastname: Hashemi
authors.affiliation: Reproductive Endocrinology Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, 24 Parvaneh, Yaman Street, Velenjak, PO Box 19395-4763, Tehran, Iran.
authors.forename: N
authors.initials: N
authors.lastname: Mohammadi
authors.affiliation: Diabetes Research Center, Ahvaz Jundishapur University of Medical Sciences, Awz-PO Box 61357-15794, Ahvaz, Iran.
authors.forename: H
authors.initials: H
authors.lastname: Rashidi
authors.affiliation: Endocrine Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, 24 Parvaneh, Yaman Street, Velenjak, PO Box 19395-4763, Tehran, Iran.
authors.forename: F
authors.initials: F
authors.lastname: Azizi
mesh_terms: D000328:Adult; D003430:Cross-Sectional Studies; D050171:Dyslipidemias / Q000150:complications / Q000453:epidemiology; D005260:Female; D006801:Humans; D007333:Insulin Resistance; D007492:Iran / Q000453:epidemiology; D016015:Logistic Models; D008659:Metabolic Diseases / Q000150:complications / Q000453:epidemiology* / Q000473:pathology; D011085:Polycystic Ovary Syndrome / Q000150:complications* / Q000473:pathology; D015995:Prevalence
keywords: dyslipidemia; insulin resistance; metabolic disorders; metabolic syndrome; polycystic ovary morphology