Martín, VicenteDávila-Batista, VerónicaCastilla, JesúsGodoy, PereDelgado-Rodríguez, MiguelSoldevila, NuriaMolina, Antonio J.Fernandez-Villa, TaniaAstray, JenaroCastro, AdyGonzález-Candelas, FernandoMayoral, José MaríaQuintana, José MaríaDomínguez, Angela2017-03-312017-03-312016-01-27Martín V, Dávila-Batista V, Castilla J, Godoy P, Delgado-Rodríguez M, Soldevila N, et al. Comparison of body mass index (BMI) with the CUN-BAE body adiposity estimator in the prediction of hypertension and type 2 diabetes. BMC Public Health. 2016 Jan 27;16:82http://hdl.handle.net/10668/2602BACKGROUND: Obesity is a world-wide epidemic whose prevalence is underestimated by BMI measurements, but CUN-BAE (Clínica Universidad de Navarra - Body Adiposity Estimator) estimates the percentage of body fat (BF) while incorporating information on sex and age, thus giving a better match. Our aim is to compare the BMI and CUN-BAE in determining the population attributable fraction (AFp) for obesity as a cause of chronic diseases. METHODS: We calculated the Pearson correlation coefficient between BMI and CUN-BAE, the Kappa index and the internal validity of the BMI. The risks of arterial hypertension (AHT) and diabetes mellitus (DM) and the AFp for obesity were assessed using both the BMI and CUN-BAE. RESULTS: 3888 white subjects were investigated. The overall correlation between BMI and CUN-BAE was R(2) = 0.48, which improved when sex and age were taken into account (R(2) > 0.90). The Kappa coefficient for diagnosis of obesity was low (28.7 %). The AFp was 50 % higher for DM and double for AHT when CUN-BAE was used. CONCLUSIONS: The overall correlation between BMI and CUN-BAE was not good. The AFp of obesity for AHT and DM may be underestimated if assessed using the BMI, as may the prevalence of obesity when estimated from the percentage of BF.enObesityBody mass indexBody fatCUN-BAEPopulation attributable fractionHypertensionDiabetesObesidadÍndice de masa corporalHipertensiónMedical Subject Headings::Persons::Persons::Age Groups::AdultMedical Subject Headings::Persons::Persons::Age Groups::Adult::AgedMedical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Diagnostic Techniques and Procedures::Physical Examination::AnthropometryMedical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Anthropometry::Body Weights and Measures::Body Mass IndexMedical Subject Headings::Health Care::Environment and Public Health::Public Health::Epidemiologic Factors::CausalityMedical Subject Headings::Health Care::Environment and Public Health::Public Health::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cross-Sectional StudiesMedical Subject Headings::Diseases::Endocrine System Diseases::Diabetes Mellitus::Diabetes Mellitus, Type 2Medical Subject Headings::Check Tags::FemaleMedical Subject Headings::Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::HumansMedical Subject Headings::Diseases::Cardiovascular Diseases::Vascular Diseases::HypertensionMedical Subject Headings::Check Tags::MaleMedical Subject Headings::Persons::Persons::Age Groups::Adult::Middle AgedMedical Subject Headings::Diseases::Pathological Conditions, Signs and Symptoms::Signs and Symptoms::Body Weight::Overweight::ObesityMedical Subject Headings::Anatomy::Tissues::Connective Tissue::Adipose TissueMedical Subject Headings::Phenomena and Processes::Physiological Phenomena::Body Constitution::Body Composition::Body Fat Distribution::Adiposityresearch article26817835open access10.1186/s12889-016-2728-31471-2458PMC4730622