INTRODUCTION: the evaluation of the body fat distribution by anthropometry can serve to identify excess visceral fat. This diagnosis will enable implementation of specific measures to both prevent and treat excess visceral fat in postmenopausal @entity1 . OBJECTIVE: the aim of this study was to analyze different anthropometric indicators and identify the best cutoff points to discriminate subjects with @entity1386 ( @entity1386 ) in postmenopausal @entity1 . METHODS: cross-sectional study with a sample of 255 postmenopausal @entity1 . Different Receiver Operating Characteristic (ROC) curves were constructed and the areas under them compared in terms of the conicity index (C-index), body mass index (BMI), waist-to-hip ratio (WHR), waist circumference (WC), weight-to-height ratio (WHtR) and @entity1386 . Sensitivity and specificity identified the best cutoff points between the different anthropometric indicators in order to discriminate subjects with @entity1386 . The confidence interval was set at 95%. RESULTS: statistically significant areas under the ROC curve were found for all anthropometric indicators analyzed. The following cutoff points, with their respective sensitivities and specificities to discriminate subjects with @entity1386 , were suggested: C-index (1.19; 75.00%- 74.77%); BMI (27.3 kg/m2; 81.08%-80.37%); WHR (0.98; 90.54%-83.18%); WC (85 cm; 85.14%-81.31%); and WHtR (0.55; 80.41%-80.37%). CONCLUSION: these results demonstrate that anthropometric indicators identify @entity1386 well in postmenopausal @entity1 and can be used instead of more sophisticated exams to detect high levels of visceral fat.

ANTHROPOMETRY TO IDENTIFY HIGH VISCERAL FAT AREA IN POSTMENOPAUSAL XXXX .

@entity1 :: ('9606', 'Species') :: ['women'] @entity1386 :: ('MESH:D018205', 'Disease') :: ['high visceral fat area', 'HVFA']
@entity1 :: (9606,Species) :: ['WOMEN']
