title: The use of body circumferences for the prediction of intra-abdominal fat in obese women with polycystic ovary syndrome.
abstract: BACKGROUND
  Computerizd tomography (CT) is the gold standard for the evaluation of intra- (IAF) and total (TAF) abdominal fat; however, the high cost of the procedure and exposure to radiation limit its routine use.
  
  
  OBJECTIVE
  To develop equations that utilize anthropometric measures for the estimate of IAF and TAF in obese women with polycystic ovary syndrome (PCOS).
  
  
  METHODS
  The weight, height, BMI, and abdominal (AC), waist (WC), chest (CC), and neck (NC) circumferences of thirty obese women with PCOS were measured, and their IAF and TAF were analyzed by CT.
  
  
  RESULTS
  The anthropometric variables AC, CC, and NC were chosen for the TAF linear regression model because they were better correlated with the fat deposited in this region. The model proposed for TAF (predicted) was: 4.63725 + 0.01483 x AC - 0.00117 x NC - 0.00177 x CC (R² = 0.78); and the model proposed for IAF was: IAF (predicted) = 1.88541 + 0.01878 x WC + 0.05687 x NC -0.01529 x CC (R²=0.51). AC was the only independent predictor of TAF (p < 0.01).
  
  
  CONCLUSIONS
  The equations proposed showed good correlation with the real value measured by CT, and can be used in clinical practice.
authors.affiliation: Departamento de Nutrição, Universidad Federal do Triângulo Mineiro, Uberaba, Minas Gerais, Brazil. ferpenaforte@usp.br
authors.forename: F
authors.initials: F
authors.lastname: Rodrigues de Oliveira Penaforte
authors.forename: C
authors.initials: C
authors.lastname: Cremonezi Japur
authors.forename: R W
authors.initials: RW
authors.lastname: Díez-García
authors.forename: C
authors.initials: C
authors.lastname: Salles Macedo
authors.forename: P
authors.initials: P
authors.lastname: García Chiarello
mesh_terms: D000328:Adult; D000886:Anthropometry; D015992:Body Mass Index; D001835:Body Weight / Q000502:physiology; D005260:Female; D006801:Humans; D050152:Intra-Abdominal Fat / Q000473:pathology*; D009333:Neck / Q000033:anatomy & histology; D009765:Obesity / Q000175:diagnosis* / Q000209:etiology / Q000473:pathology*; D011085:Polycystic Ovary Syndrome / Q000150:complications / Q000175:diagnosis* / Q000523:psychology*; D011237:Predictive Value of Tests; D012044:Regression Analysis; D013909:Thorax / Q000033:anatomy & histology; D014057:Tomography, X-Ray Computed; D055105:Waist Circumference / Q000502:physiology*; D055815:Young Adult