Adiposity rather than BMI determines metabolic risk

Int J Cardiol. 2013 Jun 5;166(1):111-7. doi: 10.1016/j.ijcard.2011.10.006. Epub 2011 Nov 15.

Abstract

Background and aim: There is increasing evidence suggesting that WHO body mass index (BMI) cut-off values are outdated and should not be applied to different population. To overcome misclassifications, direct measurements of percentage body fat (PBF) would be a better tool for preobesity and obesity diagnosis. The aim of this study was to analyze the body composition in a adult population in Centre-South of Italy, by age and gender, and to verify the accordance between BMI and PBF cut-off points for health status classification.

Methods: The total subject pool cover a total of 4408 participants adults. A completed screening of anthropometry and body composition by Dual X-ray Absorptiometry, (DXA) was assessed on 3.258 subjects.

Results: Distributions and quantitative reliable estimates of PBF, total body fat and lean, according to gender and age are provided. The prevalence of "at risk" subjects (preobese and obese) was 69% and 85%, for men and women respectively, according to PBF cut-off points. The agreement of BMI and PBF categories resulted low for the total and male population, even scarce for female population (all P ≤ 0.001). The false negative classification of BMI was stronger for women than men and for younger than older subjects.

Conclusions: Screening for adiposity in subjects with a normal BMI could better identify those at higher risk for cardiometabolic disturbances and cardiovascular mortality. The herein used cut-offs points of PBF, by age and gender, may provide a useful reference in clinical settings and public health services, in particular for the Italian Caucasian population.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Absorptiometry, Photon / methods
  • Absorptiometry, Photon / standards*
  • Adiposity / physiology*
  • Adult
  • Age Factors
  • Aged
  • Aged, 80 and over
  • Anthropometry* / methods
  • Body Composition / physiology
  • Body Mass Index*
  • Cohort Studies
  • Cross-Sectional Studies
  • Female
  • Humans
  • Italy / epidemiology
  • Male
  • Metabolic Diseases / diagnostic imaging*
  • Metabolic Diseases / epidemiology
  • Metabolic Diseases / physiopathology
  • Middle Aged
  • Risk Factors
  • Sex Factors
  • Young Adult