Please use this identifier to cite or link to this item: http://hdl.handle.net/10668/2602
Título : Comparison of body mass index (BMI) with the CUN-BAE body adiposity estimator in the prediction of hypertension and type 2 diabetes
Autor : Martín, Vicente
Dávila-Batista, Verónica
Castilla, Jesús
Godoy, Pere
Delgado-Rodríguez, Miguel
Soldevila, Nuria
Molina, Antonio J.
Fernandez-Villa, Tania
Astray, Jenaro
Castro, Ady
González-Candelas, Fernando
Mayoral, José María
Quintana, José María
Domínguez, Angela
Filiación: [Martín,V; Dávila-Batista,V; Molina,AJ; Fernandez-Villa,T] Grupo de Investigación Interacciones Gen-Ambiente y Salud - Universidad de León (Gigas), León, Spain. [Martín,V; Castilla,J; Godoy,P; Delgado-Rodríguez,M; Soldevila,N; González-Candelas,F; Quintana,JM; Domínguez,A] CIBER Epidemiología y Salud Pública, Madrid, Spain. [Castilla,J] Instituto de Salud Pública de Navarra, Pamplona, Spain. [Godoy,P] Departament de Salut, Generalitat de Catalunya, Barcelona, Spain. [Delgado-Rodríguez,M] División de Medicina Preventiva y Salud Pública, Universidad de Jaén, Jaén, Spain. [Astray,J] Subdirección de Vigilancia. Comunidad de Madrid, Madrid, Spain. [Castro,A] CIBER Enfermedades Respiratorias, Madrid, Spain. [González-Candelas,F] Unidad Mixta Genómica y Salud CSISP (FISABIO)-Universitat de València, Valencia, Spain. []Mayoral;JM] Servicio de Vigilancia de Andalucía, Sevilla, Spain. [Quintana,JM] Fundación Vasca de Innovación e Investigación Sanitarias, Sondika, Spain. [Domínguez,A] Departament de Salut Pública, Universitat de Barcelona, Barcelona, Spain. [Dávila-Batista,V] Facultad de Ciencias de la Salud. Campus de Vegazana. Universidad de León, León, Spain.
Grupo de Investigación: CIBERESP Cases and Controls in Pandemic Influenza Working Group, Spain
Palabras clave : Obesity
Body mass index
Body fat
CUN-BAE
Population attributable fraction
Hypertension
Diabetes
Obesidad
Índice de masa corporal
Hipertensión
MeSH: Medical Subject Headings::Persons::Persons::Age Groups::Adult
Medical Subject Headings::Persons::Persons::Age Groups::Adult::Aged
Medical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Diagnosis::Diagnostic Techniques and Procedures::Physical Examination::Anthropometry
Medical Subject Headings::Analytical, Diagnostic and Therapeutic Techniques and Equipment::Investigative Techniques::Anthropometry::Body Weights and Measures::Body Mass Index
Medical Subject Headings::Health Care::Environment and Public Health::Public Health::Epidemiologic Factors::Causality
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::Diseases::Endocrine System Diseases::Diabetes Mellitus::Diabetes Mellitus, Type 2
Medical Subject Headings::Check Tags::Female
Medical Subject Headings::Organisms::Eukaryota::Animals::Chordata::Vertebrates::Mammals::Primates::Haplorhini::Catarrhini::Hominidae::Humans
Medical Subject Headings::Diseases::Cardiovascular Diseases::Vascular Diseases::Hypertension
Medical Subject Headings::Check Tags::Male
Medical Subject Headings::Persons::Persons::Age Groups::Adult::Middle Aged
Medical Subject Headings::Diseases::Pathological Conditions, Signs and Symptoms::Signs and Symptoms::Body Weight::Overweight::Obesity
Medical Subject Headings::Anatomy::Tissues::Connective Tissue::Adipose Tissue
Medical Subject Headings::Phenomena and Processes::Physiological Phenomena::Body Constitution::Body Composition::Body Fat Distribution::Adiposity
Fecha de publicación : 27-Jan-2016
Editorial : BioMed Central
Cita Bibliográfica: Martín 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;16:82
Abstract: 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.
URI: http://hdl.handle.net/10668/2602
Versión del editor : https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-016-2728-3
DOI: 10.1186/s12889-016-2728-3
ISSN : 1471-2458 (Online)
Appears in Collections:01- Artículos - Consejería de Salud

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