title: Study and classification of the abdominal adiposity throughout the application of the two-dimensional predictive equation Garaulet et al., in the clinical practice.
abstract: BACKGROUND
  The excess of visceral abdominal adipose tissue is one of the major concerns in obesity and its clinical treatment.
  
  
  OBJECTIVE
  To apply the two-dimensional predictive equation proposed by Garaulet et al. to determine the abdominal fat distribution and to compare the results with the body composition obtained by multi-frequency bioelectrical impedance analysis (M-BIA).
  
  
  METHODS
  We studied 230 women, who underwent anthropometry and M-BIA. The predictive equation was applied. Multivariate lineal and partial correlation analyses were performed with control for BMI and % body fat, using SPSS 15.0 with statistical significance P < 0.05.
  
  
  RESULTS
  Overall, women were considered as having subcutaneous distribution of abdominal fat. Truncal fat, regional fat and muscular mass were negatively associated with VA/SA(predicted), while the visceral index obtained by M-BIA was positively correlated with VA/SA(predicted).
  
  
  CONCLUSIONS
  The predictive equation may be useful in the clinical practice to obtain an accurate, costless and safe classification of abdominal obesity.
authors.affiliation: Department of Physiology, University of Murcia, Campus de Espinardo, Murcia, Spain.
authors.forename: C M
authors.initials: CM
authors.lastname: Piernas Sánchez
authors.forename: E M
authors.initials: EM
authors.lastname: Morales Falo
authors.forename: S
authors.initials: S
authors.lastname: Zamora Navarro
authors.forename: M
authors.initials: M
authors.lastname: Garaulet Aza
mesh_terms: D050153:Abdominal Fat; D000328:Adult; D001823:Body Composition; D017097:Electric Impedance; D005260:Female; D005544:Forecasting; D006801:Humans; D050152:Intra-Abdominal Fat; D008433:Mathematics