title: Multiparity and risk of metabolic syndrome: Isfahan Healthy Heart Program.
abstract: BACKGROUND
  More than one third of Iranian adult women have the metabolic syndrome. We conducted this study to assess the effect of parity on the prevalence of metabolic syndrome in analyses controlling for sociodemographic and reproductive variables as well as behavioral risk factors.
  
  
  METHODS
  We evaluated the relationship between number of children and metabolic syndrome in 6331 adult nonpregnant women >20 years of age. The data source for this study was Isfahan Healthy Heart Program (IHHP). Metabolic syndrome was defined according to Adult Treatment Panel III (ATP III).
  
  
  RESULTS
  Overall, 34.2% of women met the criteria for metabolic syndrome. The number of children borne in women with metabolic syndrome was significantly higher than others (5.2 +/- 3.1 vs. 3.5 +/- 2.6; p < 0.0001). In logistic regression analyses, the odds of metabolic syndrome increased 24% (95% confidence interval [CI], 22-26%) with each additional child, but after adjustment for sociodemographic, reproductive, and behavioral characteristics, the odds of metabolic syndrome was attenuated (odds ratio [OR], 1.03; 95% CI, 1.00-1.06). Further adjustment for body mass index (BMI) yielded similar results (OR, 1.02; 95% CI, 0.98-1.05).
  
  
  CONCLUSIONS
  A combination of lifestyle risk factors and/or biological changes associated with childbearing may explain the positive association between parity and increased risk of metabolic syndrome.
authors.affiliation: Isfahan Cardiovascular Research Center, Isfahan University of Medical Sciences, Isfahan, Iran.
authors.forename: Elham
authors.initials: E
authors.lastname: Mousavi
authors.forename: Mojgan
authors.initials: M
authors.lastname: Gharipour
authors.forename: Aliakbar
authors.initials: A
authors.lastname: Tavassoli
authors.forename: Gholam Hosein
authors.initials: GH
authors.lastname: Sadri
authors.forename: Nizal
authors.initials: N
authors.lastname: Sarrafzadegan
mesh_terms: D000328:Adult; D000368:Aged; D019058:Community Networks; D003430:Cross-Sectional Studies; D005260:Female; D006801:Humans; D007492:Iran / Q000453:epidemiology; D016015:Logistic Models; D024821:Metabolic Syndrome / Q000453:epidemiology* / Q000209:etiology*; D016017:Odds Ratio; D010298:Parity; D011247:Pregnancy; D012307:Risk Factors