title: Comparison of adiposity indices and cut-off values in the prediction of metabolic syndrome in postmenopausal women.
abstract: OBJECTIVE
  To compare adiposity indices and to assess their various cut-off values for the prediction of metabolic syndrome (MetS) in postmenopausal women.
  
  
  METHODS
  One hundred forty nine volunteers (67.17±6.12 years) underwent body composition assessment using DXA and had 5 anthropometric indices measured (Waist Circumference, WC; Waist-to-Height Ratio, WHtR; Body Mass Index, BMI; Body Adiposity Index, BAI; and Conicity Index). Blood pressure was assessed using an oscillometric device and fasting blood samples were collected. MetS was classified according NCEP-ATP III. Cut-off values to predict MetS were obtained using Receiver Operating Characteristic (ROC) curve analyses and odds ratios were also calculated.
  
  
  RESULTS
  MetS prevalence was 29.5% and subjects who were classified with MetS showed worse cardiometabolic outcomes and higher anthropometric indices values (p<0.05). With the exception of total- and LDL-cholesterol, all remaining variables were significantly correlated with at least one of the adiposity indices, with the strongest relationships observed for the indices reflecting central body fat. The cut-off values were 88cm, 0.57cm/cm, 26.85kg/m(2), 43.7%, 36.34%, and 1.24 units for WC, WHtR, BMI, DXA-derived body fat percentage, BAI, and conicity index, respectively. Significant greater risks for MetS were found for volunteers who had WHtR (odds=9.08; CI: 1.81-45.47) or WC (odds=5.20; CI: 1.30-20.73) measurements above cut-off values.
  
  
  CONCLUSIONS
  Adiposity indices are associated with MetS in postmenopausal women in different degrees. Indices which consider central adiposity such as WC and WHtR have a stronger relationship with MetS compared to DXA-derived body fat percentage, which is considered a gold standard.
authors.affiliation: University of Brasília, Brasília, Brazil.
authors.forename: André B
authors.initials: AB
authors.lastname: Gadelha
authors.affiliation: Division of Cardiology, Veterans Affairs Palo Alto Health Care System, Palo Alto, CA, USA; Stanford University, Stanford, CA, USA.
authors.forename: Jonathan
authors.initials: J
authors.lastname: Myers
authors.affiliation: Federal University of Vale do São Francisco, Petrolina, Brazil.
authors.forename: Sérgio
authors.initials: S
authors.lastname: Moreira
authors.affiliation: University of Brasília, Brasília, Brazil.
authors.forename: Maurílio T
authors.initials: MT
authors.lastname: Dutra
authors.affiliation: University of Brasília, Brasília, Brazil.
authors.forename: Marisete P
authors.initials: MP
authors.lastname: Safons
authors.affiliation: University of Brasília, Brasília, Brazil. Electronic address: ricardomoreno@unb.br.
authors.forename: Ricardo M
authors.initials: RM
authors.lastname: Lima
mesh_terms: D050154:Adiposity; D000367:Age Factors; D001794:Blood Pressure; D001823:Body Composition; D001827:Body Height; D005260:Female; D006801:Humans; D024821:Metabolic Syndrome / Q000175:diagnosis* / Q000453:epidemiology; D016017:Odds Ratio; D017698:Postmenopause; D015995:Prevalence; D012307:Risk Factors; D055105:Waist Circumference
keywords: Aging; Menopause; Metabolic syndrome; Obesity