Adiposity rather than BMI determines metabolic risk
| Autor: | L Iacopino, Annarita Iannarelli, Laura Di Renzo, Alessia Bianchi, Pasquale Maroni, Antonino De Lorenzo, Nicola Di Daniele |
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| Rok vydání: | 2013 |
| Předmět: |
Adult
Male medicine.medical_specialty Settore MED/09 - Medicina Interna Cross-sectional study Population Body Mass Index Cohort Studies Young Adult Absorptiometry Photon Sex Factors Metabolic Diseases Risk Factors Internal medicine Humans Medicine Settore MED/49 - Scienze Tecniche Dietetiche Applicate Young adult education Adiposity Aged Aged 80 and over education.field_of_study Anthropometry business.industry Public health Age Factors Middle Aged medicine.disease Obesity Cross-Sectional Studies Endocrinology Italy Body Composition Female Cardiology and Cardiovascular Medicine business Body mass index Demography Cohort study |
| Zdroj: | International Journal of Cardiology. 166:111-117 |
| ISSN: | 0167-5273 |
| DOI: | 10.1016/j.ijcard.2011.10.006 |
| Popis: | Background and aim There is increasing evidence suggesting that WHO body mass index (BMI) cut-off values are outdated and should not be applied to different population.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. |
| Databáze: | OpenAIRE |
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