Clinical Usefulness of a New Equation for Estimating Body Fat

Gómez-Ambrosi, Javier; Silva, Camilo; Catalán, Victoria; Rodríguez, Amaia; Galofré, Juan Carlos; Escalada, Javier; Valentí, Victor; Rotellar, Fernando; Romero, Sonia; Ramírez, Beatriz; Salvador, Javier; Frühbeck, Gema
February 2012
Diabetes Care;Feb2012, Vol. 35 Issue 2, p383
Academic Journal
OBJECTIVE--To assess the predictive capacity of a recently described equation that we have termed CUN-BAE (Clínica Universidad de Navarra-Body Adiposity Estimator) based on BMI, sex, and age for estimating body fat percentage (BF%) and to study its clinical usefulness. RESEARCH DESIGN AND METHODS--We conducted a comparison study of the developed equation with many other anthropometric indices regarding its correlation with actual BF% in a large cohort of 6,510 white subjects from both sexes (67% female) representing a wide range of ages (18-80 years) and adiposity. Additionally, a validation study in a separate cohort (n = 1,149) and a further analysis of the clinical usefulness of this prediction equation regarding its association with cardiometabolic risk factors (n = 634) was carried out. RESULTS--The mean BF% in the cohort of 6,510 subjects determined by air displacement plethysmographywas39.9 ± 10.1%, and the mean BF% estimated by the CUN-BAE was 39.3 ± 8.9% (SE of the estimate, 4.66%). In this group, BF% calculated with the CUN-BAE showed the highest correlation with actual BF% (r = 0.89, P < 0.000001) compared with other anthropometric measures or BF% estimators. Similar agreement was found in the validation sample. Moreover, BF% estimated by the CUN-BAE exhibits, in general, better correlations with cardiometabolic risk factors than BMI as well as waist circumference in the subset of 634 subjects. CONCLUSIONS--CUN-BAE is an easy-to-apply predictive equation that may be used as a first screening tool in clinical practice. Furthermore, our equation may be a good tool for identifying patients at cardiovascular and type 2 diabetes risk.


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