Cookies on this website

We use cookies to ensure that we give you the best experience on our website. If you click 'Accept all cookies' we'll assume that you are happy to receive all cookies and you won't see this message again. If you click 'Reject all non-essential cookies' only necessary cookies providing core functionality such as security, network management, and accessibility will be enabled. Click 'Find out more' for information on how to change your cookie settings.

INTRODUCTION: 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). SUBJECTS/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). DISCUSSION/CONCLUSION: The predictive equation may be useful in the clinical practice to obtain an accurate, costless and safe classification of abdominal obesity.


Journal article


Nutr Hosp

Publication Date





270 - 274


Abdominal Fat, Adult, Body Composition, Electric Impedance, Female, Forecasting, Humans, Intra-Abdominal Fat, Mathematics