Comparison of body mass index (BMI) with the CUN-BAE body adiposity estimator in the prediction of hypertension and type 2 diabetes


Por: Martín V, Dávila-Batista V, Castilla J, Godoy P, Delgado-Rodríguez M, Soldevila N, Molina AJ, Fernandez-Villa T, Astray J, Castro A, González-Candelas F, Mayoral JM, Quintana JM and Domínguez A

Publicada: 27 ene 2016 Ahead of Print: 27 ene 2016
Categoría: Public health, environmental and occupational health

Resumen:
Background: Obesity is a world-wide epidemic whose prevalence is underestimated by BMI measurements, but CUN-BAE (Unica 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 (ANT) 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.

Filiaciones:
Martín V:
 Grupo de Investigación Interacciones Gen-Ambiente y Salud - Universidad de León (Gigas), León, Spain.

 CIBER Epidemiología y Salud Pública, Madrid, Spain.

Dávila-Batista V:
 Facultad de Ciencias de la Salud. Campus de Vegazana. Universidad de León, 24071, León, 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.

:
 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.
ISSN: 14712458





BMC Public Health
Editorial
BIOMED CENTRAL LTD, 236 GRAYS INN RD, FLOOR 6, LONDON WC1X 8HL, ENGLAND, Reino Unido
Tipo de documento: Article
Volumen: 16 Número:
Páginas: 82-82
WOS Id: 000369475800001
ID de PubMed: 26817835
imagen Green Published, gold

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