@article{10902/16653,
year = {2019},
url = {http://hdl.handle.net/10902/16653},
abstract = {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.},
organization = {Funding: The ENRICA study was funded and financed by Sanofi-Aventis. Specific funding for this analysis came from the governmental Spain FIS PI12/1166 and PI11/01379 projects and from the “UAM Chair in Epidemiology and Control of Cardiovascular Risk”.},
publisher = {Steinkopff},
publisher = {Eur J Nutr. 2019 Aug;58(5):1853-1861},
title = {Net contribution and predictive ability of the CUN-BAE body fatness index in relation to cardiometabolic conditions},
author = {Davila Batista, Veronica and Molina, Antonio J. and Vilorio Marqués, Laura and Lujan Barroso, Leila and Souza Teixeira, Fernanda de and Olmedo Requena, Rocío and Arias de la Torre, Jorge and García Martínez, Lidia and Álvarez Álvarez, Laura and Freisling, Heinz and Llorca Díaz, Francisco Javier and Delgado Rodríguez, Miguel and Martin, Vicente},
}