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

[EN] 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 co...

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Detalles Bibliográficos
Autores: Martín Sánchez, Vicente, Dávila Batista, Verónica, Castilla, Jesús, Godoy, Pere, Delgado Rodríguez, Miguel, Soldevila, Núria, Molina de la Torre, Antonio José, Fernández Villa, Tania, Astray, Jenaro, Castro, Ady, González Candelas, Fernando, Mayoral, José María, Quintana, José María, Domínguez, Ángela
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2016
País:España
Institución:Universidad de León
Repositorio:BULERIA. Repositorio Institucional de la Universidad de León
OAI Identifier:oai:buleria.unileon.es:10612/22368
Acceso en línea:https://bmcpublichealth.biomedcentral.com/articles/10.1186/s12889-016-2728-3
https://hdl.handle.net/10612/22368
Access Level:acceso abierto
Palabra clave:Medicina. Salud
Obesity
Body mass index
Body fat
CUN-BAE
Population attributable fraction
Hypertension
Diabetes mellitus
Descripción
Sumario:[EN] 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.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.3888 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.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.

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