Study and classification of the abdominal adiposity throughout the application of the two-dimensional predictive equation Garaulet et al., in the clinical practice.
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.
Piernas Sánchez
C M
CM
Department of Physiology, University of Murcia, Campus de Espinardo, Murcia, Spain.
Morales Falo
E M
EM
Zamora Navarro
S
S
Garaulet Aza
M
M
D050153:Abdominal Fat; D000328:Adult; D001823:Body Composition; D017097:Electric Impedance; D005260:Female; D005544:Forecasting; D006801:Humans; D050152:Intra-Abdominal Fat; D008433:Mathematics