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

Research Article

Ady Castro¹  Nuria Soldevila²  Angela Domínguez³  Pere Godoy⁴  Miguel Delgado-Rodríguez⁵  José María Quintana⁶  Jesús Castilla⁷  Fernando González-Candelas⁸  Antonio J. Molina⁹  Tania Fernandez-Villa⁹  Vicente Martín^1,10  Verónica Dávila-Batista^1,11  José María Mayoral^1,12  Jenaro Astray^1,13 

[1] CIBER Enfermedades Respiratorias, Madrid, Spain;CIBER Epidemiología y Salud Pública, Madrid, Spain;CIBER Epidemiología y Salud Pública, Madrid, Spain;Departament de Salut Pública, Universitat de Barcelona, Barcelona, Spain;CIBER Epidemiología y Salud Pública, Madrid, Spain;Departament de Salut, Generalitat de Catalunya, Barcelona, Spain;CIBER Epidemiología y Salud Pública, Madrid, Spain;División de Medicina Preventiva y Salud Pública, Universidad de Jaén, Jaén, Spain;CIBER Epidemiología y Salud Pública, Madrid, Spain;Fundación Vasca de Innovación e Investigación Sanitarias, Sondika, Spain;CIBER Epidemiología y Salud Pública, Madrid, Spain;Instituto de Salud Pública de Navarra, Pamplona, Spain;CIBER Epidemiología y Salud Pública, Madrid, Spain;Unidad Mixta Genómica y Salud CSISP (FISABIO)-Universitat de València, Valencia, Spain;Grupo de Investigación Interacciones Gen-Ambiente y Salud - Universidad de León (Gigas), León, Spain;Grupo de Investigación Interacciones Gen-Ambiente y Salud - Universidad de León (Gigas), León, Spain;CIBER Epidemiología y Salud Pública, Madrid, Spain;Grupo de Investigación Interacciones Gen-Ambiente y Salud - Universidad de León (Gigas), León, Spain;Facultad de Ciencias de la Salud. Campus de Vegazana. Universidad de León, 24071, León, Spain;Servicio de Vigilancia de Andalucía, Sevilla, Spain;Subdirección de Vigilancia. Comunidad de Madrid, Madrid, Spain;

关键词: Obesity;    Body mass index;    Body fat;    CUN-BAE;    Population attributable fraction;    Hypertension;    Diabetes mellitus;   

DOI  :  10.1186/s12889-016-2728-3

 received in 2015-04-28, accepted in 2016-01-13,  发布年份 2016

来源: Springer

【 摘 要 】

BackgroundObesity 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.MethodsWe 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.Results3888 white subjects were investigated. The overall correlation between BMI and CUN-BAE was R2 = 0.48, which improved when sex and age were taken into account (R2 > 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.ConclusionsThe 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.

【 授权许可】

CC BY   
© Martín et al. 2016