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05.08.2019 | Original Contribution

Cross-sectional association between non-soy legume consumption, serum uric acid and hyperuricemia: the PREDIMED-Plus study

Zeitschrift:
European Journal of Nutrition
Autoren:
Nerea Becerra-Tomás, Guillermo Mena-Sánchez, Andrés Díaz-López, Miguel Ángel Martínez-González, Nancy Babio, Dolores Corella, Gala Freixer, Dora Romaguera, Jesús Vioque, Ángel M. Alonso-Gómez, Julia Wärnberg, J. Alfredo Martínez, Lluís Serra-Majem, Ramon Estruch, José Carlos Fernández-García, José Lapetra, Xavier Pintó, Josep A. Tur, José López-Miranda, Aurora Bueno-Cavanillas, José Juan Gaforio, Pilar Matía-Martín, Lidia Daimiel, Vicente Martín-Sánchez, Josep Vidal, Clotilde Vázquez, Emili Ros, Cristina Razquin, Iván Abellán Cano, Jose V. Sorli, Laura Torres, Marga Morey, Eva Mª Navarrete-Muñoz, Lucas Tojal Sierra, Edelys Crespo-Oliva, M. Ángeles Zulet, Almudena Sanchez-Villegas, Rosa Casas, M. Rosa Bernal-Lopez, José Manuel Santos-Lozano, Emili Corbella, Maria del Mar Bibiloni, Miguel Ruiz-Canela, Rebeca Fernández-Carrión, Mireia Quifer, Rafel M. Prieto, Noelia Fernandez-Brufal, Itziar Salaverria Lete, Juan Carlos Cenoz, Regina Llimona, Jordi Salas-Salvadó, The PREDIMED-Plus Investigators
Wichtige Hinweise
The members of PREDIMED-Plus Investigators are listed in the Acknowledgements section.

Abstract

Purpose

To assess the association between the consumption of non-soy legumes and different subtypes of non-soy legumes and serum uric acid (SUA) or hyperuricemia in elderly individuals with overweight or obesity and metabolic syndrome.

Methods

A cross-sectional analysis was conducted in the framework of the PREDIMED-Plus study. We included 6329 participants with information on non-soy legume consumption and SUA levels. Non-soy legume consumption was estimated using a semi-quantitative food frequency questionnaire. Linear regression models and Cox regression models were used to assess the associations between tertiles of non-soy legume consumption, different subtypes of non-soy legume consumption and SUA levels or hyperuricemia prevalence, respectively.

Results

Individuals in the highest tertile (T3) of total non-soy legume, lentil and pea consumption, had 0.14 mg/dL, 0.19 mg/dL and 0.12 mg/dL lower SUA levels, respectively, compared to those in the lowest tertile (T1), which was considered the reference one. Chickpea and dry bean consumption showed no association. In multivariable models, participants located in the top tertile of total non-soy legumes [prevalence ratio (PR): 0.89; 95% CI 0.82–0.97; p trend = 0.01, lentils (PR: 0.89; 95% CI 0.82–0.97; p trend = 0.01), dry beans (PR: 0.91; 95% C: 0.84–0.99; p trend = 0.03) and peas (PR: 0.89; 95% CI 0.82–0.97; p trend = 0.01)] presented a lower prevalence of hyperuricemia (vs. the bottom tertile). Chickpea consumption was not associated with hyperuricemia prevalence.

Conclusions

In this study of elderly subjects with metabolic syndrome, we observed that despite being a purine-rich food, non-soy legumes were inversely associated with SUA levels and hyperuricemia prevalence.

Trial registration

ISRCTN89898870. Registration date: 24 July 2014.

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