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

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

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dc.contributor.author Martín, Vicente
dc.contributor.author Dávila-Batista, Verónica
dc.contributor.author Castilla, Jesús
dc.contributor.author Godoy, Pere
dc.contributor.author Delgado-Rodríguez, Miguel
dc.contributor.author Soldevila, Nuria
dc.contributor.author Molina, Antonio J.
dc.contributor.author Fernandez-Villa, Tania
dc.contributor.author Astray, Jenaro
dc.contributor.author Castro, Ady
dc.contributor.author González Candelas, Fernando
dc.contributor.author Mayoral, José María
dc.contributor.author Quintana, José María
dc.contributor.author Domínguez, Ángela
dc.contributor.author The CIBERESP Cases and Controls
dc.date.accessioned 2016-04-15T12:29:21Z
dc.date.available 2016-04-15T12:29:21Z
dc.date.issued 2016
dc.identifier.uri http://hdl.handle.net/10550/52744
dc.description.abstract Background 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. 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 (AHT) 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 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. 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.
dc.language.iso eng
dc.relation.ispartof BMC Public Health, 2016, vol. 16, p. 82
dc.rights.uri info:eu-repo/semantics/openAccess
dc.source Martín, Vicente; Dávila-Batista, Verónica; Castilla, Jesús; Godoy, Pere; Delgado-Rodríguez, Miguel; Soldevila, Nuria; Molina, Antonio J.; Fernandez-Villa, Tania; Astray, Jenaro; Castro, Ady; González Candelas, Fernando; Mayoral, José María; Quintana, José María; Domínguez, Ángela. The CIBERESP Cases and Controls 2016 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 16 82
dc.subject Diabetis
dc.subject Obesitat
dc.title Comparison of body mass index (BMI) with the CUN-BAE body adiposity estimator in the prediction of hypertension and type 2 diabetes
dc.type info:eu-repo/semantics/article
dc.date.updated 2016-04-15T12:29:21Z
dc.identifier.doi http://dx.doi.org/10.1186/s12889-016-2728-3
dc.identifier.idgrec 110285

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