title: Clinical usefulness of a new equation for estimating body fat.
abstract: 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.
  
  
  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 plethysmography was 39.9 ± 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.
authors.affiliation: Metabolic Research Laboratory, Clínica Universidad de Navarra, Pamplona, Spain. jagomez@unav.es
authors.forename: Javier
authors.initials: J
authors.lastname: Gómez-Ambrosi
authors.forename: Camilo
authors.initials: C
authors.lastname: Silva
authors.forename: Victoria
authors.initials: V
authors.lastname: Catalán
authors.forename: Amaia
authors.initials: A
authors.lastname: Rodríguez
authors.forename: Juan Carlos
authors.initials: JC
authors.lastname: Galofré
authors.forename: Javier
authors.initials: J
authors.lastname: Escalada
authors.forename: Victor
authors.initials: V
authors.lastname: Valentí
authors.forename: Fernando
authors.initials: F
authors.lastname: Rotellar
authors.forename: Sonia
authors.initials: S
authors.lastname: Romero
authors.forename: Beatriz
authors.initials: B
authors.lastname: Ramírez
authors.forename: Javier
authors.initials: J
authors.lastname: Salvador
authors.forename: Gema
authors.initials: G
authors.lastname: Frühbeck
mesh_terms: D000273:Adipose Tissue / Q000378:metabolism*; D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000886:Anthropometry / Q000379:methods*; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D055815:Young Adult