Adiposity rather than BMI determines metabolic risk

• Published in: International journal of cardiology 2013-06, Vol.166 (1), p.111-117
• Main Authors: De Lorenzo, Antonino, Bianchi, Alessia, Maroni, Pasquale, Iannarelli, Annarita, Di Daniele, Nicola, Iacopino, Leonardo, Di Renzo, Laura
• Format: Article
• Language: English
• Subjects: Absorptiometry, Photon - methods; Absorptiometry, Photon - standards; Adiposity - physiology; Adult; Age Factors; Aged; Aged, 80 and over; Anthropometry - methods; Biological and medical sciences; BMI; Body composition; Body Composition - physiology; Body Mass Index; Cardiology. Vascular system; Cardiometabolic risk; Cardiovascular; Cohort Studies; Coronary heart disease; Cross-Sectional Studies; Dual X-ray absorptiometry; Female; Heart; Humans; Italy - epidemiology; Male; Medical sciences; Metabolic diseases; Metabolic Diseases - diagnostic imaging; Metabolic Diseases - epidemiology; Metabolic Diseases - physiopathology; Middle Aged; Miscellaneous; Obesity; Other metabolic disorders; Risk Factors; Sex Factors; Young Adult
• ISSN: 0167-5273; 1874-1754
• DOI: 10.1016/j.ijcard.2011.10.006

Abstract Background and aim There is increasing evidence suggesting that WHO body mass index (BMI) cut-off values are outdated and should not be applied to different population.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.