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RESEARCH PRODUCT
Comparison of body mass index (BMI) with the CUN-BAE body adiposity estimator in the prediction of hypertension and type 2 diabetes
Vicente Martín SánchezVerónica Dávila BatistaJesús CastillaPere Godoy I GarcíaMiguel Delgado-rodríguezNúria SoldevilaAntonio José Molina De La TorreTania Fernandez VillaJenaro AstrayAndy CastroFernando González-candelasJosé María MayoralJosé María QuintanaÀNgela Domínguez GarcíaAntoni Trilla GarcíaCiberesp Cases And Controls In Pandemic Influenza Working Groupsubject
Male:Analytical Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Diagnostic Techniques and Procedures::Physical Examination::Anthropometry [Medical Subject Headings]:Health Care::Environment and Public Health::Public Health::Epidemiologic Methods::Epidemiologic Study Characteristics as Topic::Epidemiologic Studies::Cross-Sectional Studies [Medical Subject Headings]ObesidadType 2 diabetesÍndice de masa corporalCUN-BAEBody Mass Index:Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans [Medical Subject Headings]Diabetes mellitus0302 clinical medicineMedicine030212 general & internal medicineBody mass indexAdiposity:Persons::Persons::Age Groups::Adult::Aged [Medical Subject Headings]education.field_of_studyDiabetisAnthropometryDiabetes:Diseases::Pathological Conditions Signs and Symptoms::Signs and Symptoms::Body Weight::Overweight::Obesity [Medical Subject Headings]Middle Aged:Anatomy::Tissues::Connective Tissue::Adipose Tissue [Medical Subject Headings]CausalityAdipose TissueBody fatHypertensionObesitatFemaleHipertensióResearch ArticleAdultmedicine.medical_specialty:Analytical Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Anthropometry::Body Weights and Measures::Body Mass Index [Medical Subject Headings]Population:Check Tags::Male [Medical Subject Headings]030209 endocrinology & metabolismBody adiposity index:Health Care::Environment and Public Health::Public Health::Epidemiologic Factors::Causality [Medical Subject Headings]03 medical and health sciences:Diseases::Cardiovascular Diseases::Vascular Diseases::Hypertension [Medical Subject Headings]Population attributable fractionClassification of obesityInternal medicineHipertensiónHumansObesityeducation:Persons::Persons::Age Groups::Adult [Medical Subject Headings]Aged:Phenomena and Processes::Physiological Phenomena::Body Constitution::Body Composition::Body Fat Distribution::Adiposity [Medical Subject Headings]Body volume indexbusiness.industryPublic Health Environmental and Occupational Health:Diseases::Endocrine System Diseases::Diabetes Mellitus::Diabetes Mellitus Type 2 [Medical Subject Headings]:Persons::Persons::Age Groups::Adult::Middle Aged [Medical Subject Headings]medicine.diseaseObesityCross-Sectional StudiesEndocrinologyDiabetes Mellitus Type 2:Check Tags::Female [Medical Subject Headings]Attributable riskbusinessBody mass indexDemographyAntropometriadescription
BACKGROUND: 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. This study was supported by the Ministry of Science and Innovation, Carlos III Institute of Health, Programme of Research on Influenza A/H1N1 (Grant GR09/0030), and the Catalan Agency for the Management of Grants for University Research (AGAUR Grant number 2009/ SGR 42). Yes
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2016-01-27 |