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

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 framewor...

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Veröffentlicht in:European journal of nutrition 2020-08, Vol.59 (5), p.2195-2206
Hauptverfasser: Becerra-Tomás, Nerea, Mena-Sánchez, Guillermo, Díaz-López, Andrés, Martínez-González, Miguel Ángel, Babio, Nancy, Corella, Dolores, Freixer, Gala, Romaguera, Dora, Vioque, Jesús, Alonso-Gómez, Ángel M., Wärnberg, Julia, Martínez, J. Alfredo, Serra-Majem, Lluís, Estruch, Ramon, Fernández-García, José Carlos, Lapetra, José, Pintó, Xavier, Tur, Josep A., López-Miranda, José, Bueno-Cavanillas, Aurora, Gaforio, José Juan, Matía-Martín, Pilar, Daimiel, Lidia, Martín-Sánchez, Vicente, Vidal, Josep, Vázquez, Clotilde, Ros, Emili, Razquin, Cristina, Abellán Cano, Iván, Sorli, Jose V., Torres, Laura, Morey, Marga, Navarrete-Muñoz, Eva Mª, Tojal Sierra, Lucas, Crespo-Oliva, Edelys, Zulet, M. Ángeles, Sanchez-Villegas, Almudena, Casas, Rosa, Bernal-Lopez, M. Rosa, Santos-Lozano, José Manuel, Corbella, Emili, del Mar Bibiloni, Maria, Ruiz-Canela, Miguel, Fernández-Carrión, Rebeca, Quifer, Mireia, Prieto, Rafel M., Fernandez-Brufal, Noelia, Salaverria Lete, Itziar, Cenoz, Juan Carlos, Llimona, Regina, Salas-Salvadó, Jordi
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Zusammenfassung: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.
ISSN:1436-6207
1436-6215
DOI:10.1007/s00394-019-02070-w