Association Among Polyphenol Intake

Identificador:  imarina:9282475

Handle: https://hdl.handle.net/20.500.11797/imarina9282475

Autors:  Rubin-Garcia, Maria; Vitelli-Storelli, Facundo; Alvarez-Alvarez, Laura; Martinez-Gonzalez, Miguel Angel; Salas-Salvado, Jordi; Corella, Dolores; Hernaez, Alvaro; Martinez, J Alfredo; Alonso-Gomez, Angel M; Warnberg, Julia; Vioque, Jesus; Romaguera, Dora; Lopez-Miranda, Jose; Estruch, Ramon; Tinahones, Francisco J; Serra-Majem, Luis, I; Cano-Ibanez, Naomi; Tur, Josep A; Marcos-Delgado, Alba; Tresserra-Rimbau, Anna; Pinto, Xavier; Delgado-Rodriguez, Miguel; Matia-Martin, Pilar; Vidal, Josep; Vazquez, Clotilde; Daimiel, Lidia; Ros, Emili; Vazquez-Ruiz, Zenaida; Babio, Nancy; Barragan, Rocio; Castaner-Nino, Olga; Razquin, Cristina; Tojal-Sierra, Lucas; Gomez-Gracia, Enrique; Gonzalez-Palacios, Sandra; Morey, Marga; Garcia-Rios, Antonio; Castro-Barquero, Sara; Bernal-Lopez, Maria Rosa; Santos-Lozano, Jose Manuel; Ruiz-Canela, Miguel; Castro-Salomo, Antoni; Pascual-Castello, Eva Cristina; Moldon, Veronica; Bullon-Vela, Vanessa; Sorto-Sanchez, Carolina; Cenoz-Osinaga, Juan Carlos; Gutierrez, Liliana; Mengual, Maira; Lamuela-Raventos, Rosa Maria; Martin-Sanchez, Vicente

Resum:
Background Dietary polyphenol intake has been associated with a decreased risk of hyperuricemia, but most of this knowledge comes from preclinical studies. The aim of the present study was to assess the association of the intake of different classes of polyphenols with serum uric acid and hyperuricemia. Methods and Results This cross-sectional analysis involved baseline data of 6332 participants. Food polyphenol content was estimated by a validated semiquantitative food frequency questionnaire and from the Phenol-Explorer database. Multivariable-adjusted linear regression models with serum uric acid (milligrams per deciliter) as the outcome and polyphenol intake (quintiles) as the main independent variable were fitted. Cox regression models with constant follow-up time (t=1) were performed to estimate the prevalence ratios (PRs) of hyperuricemia (≥7 mg/dL in men and ≥6 mg/dL in women). An inverse association between the intake of the phenolic acid class (β coefficient, -0.17 mg/dL for quintile 5 versus quintile 1 [95% CI, -0.27 to -0.06]) and hydroxycinnamic acids (β coefficient, -0.19 [95% CI, -0.3 to -0.09]), alkylmethoxyphenols (β coefficient, -0.2 [95% CI, -0.31 to -0.1]), and methoxyphenols (β coefficient, -0.24 [95% CI, -0.34 to -0.13]) subclasses with serum uric acid levels and hyperuricemia (PR, 0.82 [95% CI, 0.71-0.95]; PR, 0.82 [95% CI, 0.71-0.95]; PR, 0.80 [95% CI, 0.70-0.92]; and PR, 0.79 [95% CI, 0.69-0.91]; respectively) was found. The intake of hydroxybenzoic acids was directly and significantly associated with mean serum uric acid levels (β coefficient, 0.14 for quintile 5 versus quintile 1 [95% CI, 0.02-0.26]) but not with hyperuricemia. Conclusions In individuals with metabolic syndrome, a higher intake of some polyphenol subclasses (hydroxycinnamic acids, alkylmethoxyphenol, and methoxyphenol) was inversely associated with serum uric acid levels and hyperuricemia. Nevertheless, our findings warrant further research.