Net contribution and predictive ability of the CUN-BAE body fatness index in relation to cardiometabolic conditions

[EN] Background The CUN-BAE (Clínica Universidad de Navarra-Body adiposity estimator) index is an anthropometric index based on age, sex and body mass index (BMI) for a refined prediction of body fatness in adults. CUN-BAE may help detect metabolically unhealthy individuals with otherwise normal wei...

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Detalles Bibliográficos
Autores: Dávila Batista, Verónica, Molina de la Torre, Antonio José, Vilorio Marqués, Laura, Luján Barroso, Leila, de Souza Teixeira, Fernanda, Olmedo Requena, Rocio, Arias de la Torre, Jorge, García Martínez, Lidia, Álvarez Álvarez, Laura, Freisling, Heinz, Llorca, Javier, Delgado Rodríguez, Miguel, Martín Sánchez, Vicente
Tipo de recurso: artículo
Estado:Versión publicada
Fecha de publicación:2018
País:España
Institución:Universidad de León
Repositorio:BULERIA. Repositorio Institucional de la Universidad de León
OAI Identifier:oai:buleria.unileon.es:10612/24051
Acceso en línea:https://link.springer.com/article/10.1007/s00394-018-1743-9#Abs1
https://hdl.handle.net/10612/24051
Access Level:acceso abierto
Palabra clave:Medicina. Salud
Body fatness
CUN-BAE
BMI
Hypertension
Diabetes
Metabolic syndrome
Descripción
Sumario:[EN] Background The CUN-BAE (Clínica Universidad de Navarra-Body adiposity estimator) index is an anthropometric index based on age, sex and body mass index (BMI) for a refined prediction of body fatness in adults. CUN-BAE may help detect metabolically unhealthy individuals with otherwise normal weight according to BMI or waist circumference (WC). The aim of this study was to evaluate whether CUN-BAE, independent of its components (BMI, age and sex), was associated with cardiometabolic conditions including arterial hypertension, diabetes mellitus and metabolic syndrome (MetS). Methods The ENRICA study was based on a cross-sectional sample of non-institutionalized men and women representative of the adult Spanish population. Body weight, height, and WC were measured in all participants. The residual of CUN-BAE (rCUN-BAE), i.e. the part of the index not explained by its components, was calculated. The associations of CUN-BAE, rCUN-BAE, BMI and WC with hypertension, diabetes and MetS were analysed by multivariate logistic regression, and the Akaike information criterion (AIC) was calculated. Results The sample included 12,122 individuals. rCUN-BAE was associated with hypertension (OR 1.14, 95% CI 1.07–1.21) and MetS (OR 1.48, 1.37–1.60), but not with diabetes (OR 1.05, 0.94–1.16). In subjects with a BMI < 25 kg/m2, CUN-BAE was significantly associated with all three outcome variables. CUN-BAE was more strongly associated with the cardiometabolic conditions than BMI and WC and fit similar AICs. Conclusions The CUN-BAE index for body fatness was positively associated with hypertension, diabetes and MetS in adults independent of BMI or WC. CUN-BAE may help to identify individuals with cardiometabolic conditions beyond BMI, but this needs to be confirmed in prospective settings.

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