Repositori URV

Identificador: imarina:6012035

Handle: https://hdl.handle.net/20.500.11797/imarina6012035

Autores:
Tresserra-Rimbau ACastro-Barquero SVitelli-Storelli FBecerra-Tomas NVázquez-Ruiz ZDíaz-López ACorella DCastañer ORomaguera DVioque JAlonso-Gómez ÁMWärnberg JMartínez JASerra-Majem LEstruch RTinahones FJLapetra JPintó XTur JALópez-Miranda JGarcía-Molina LDelgado-Rodríguez MMatía-Martín PDaimiel LRubín-García MVidal JGaldon ARos EBasterra-Gortari FJBabio NSorlí JVHernáez ÁKonieczna JNotario-Barandiaran LTojal-Sierra LPérez-López JAbete IÁlvarez-Pérez JFernández-García JCSantos-Lozano JMGalera-Cusí AJulibert ARuiz-Canela MMartínez-Lacruz RPérez-Vega KAGalmes-Panades AMPastor-Polo CMoreno-Rodríguez AGea AFitó MLamuela-Raventós RMSalas-Salvadó J

Resumen:
© 2019 by the authors. Licensee MDPI, Basel, Switzerland. Overweight and obesity are important risk factors for type 2 diabetes (T2D). Moving towards healthier diets, namely, diets rich in bioactive compounds, could decrease the odds of suffering T2D. However, those individuals with high body mass index (BMI) may have altered absorption or metabolism of some nutrients and dietary components, including polyphenols. Therefore, we aimed to assess whether high intakes of some classes of polyphenols are associated with T2D in a population with metabolic syndrome and how these associations depend on BMI and sex. This baseline cross-sectional analysis includes 6633 participants from the PREDIMED-Plus trial. Polyphenol intakes were calculated from food frequency questionnaires (FFQ). Cox regression models with constant time at risk and robust variance estimators were used to estimate the prevalence ratios (PRs) for polyphenol intake and T2D prevalence using the lowest quartile as the reference group. Analyses were stratified by sex and BMI groups (overweight and obese) to evaluate potential effect modification. Catechins, proanthocyanidins, hydroxybenzoic acids, and lignans were inversely associated with T2D. Hydroxycinnamic acids were directly related in men. These associations were different depending on sex and BMI, that is, women and overweight obtained stronger inverse associations.