Background and Aims: Beans are rich in purines, which are important substances that lead to elevated serum urate, especially exogenous purines. Few studies were conducted to assess the relationship between beans intake and serum urate or hyperuricemia, especially in rural people. The purpose of this study was to validate the association by gender in the rural Chinese population. Methods: A total of 38,855 participants aged 18-79 years old were enrolled from the Henan Rural Cohort Study (Registration number: ChiCTR-OOC-15006699). Dietary data were collected using a validated food frequency questionnaire (FFQ). Linear regression models and logistic regression models were used to examine the associations between beans intake and serum urate levels or hyperuricemia. Restricted cubic spline regression was performed to display the dose-response relationship. Results: In multivariate-adjusted linear regression, an inverse correlation was found between beans intake and serum urate level (the highest quartile Q4 vs. the bottom quartile Q1) in both men (P = 0.008) and women (P < 0.001). Per 10-g increment in beans intake was associated with 0.30 μmol/L decreased concentration of serum urate in men and 0.71 μmol/L in women. The multivariate-adjusted odds ratios (ORs) of hyperuricemia were 0.83 (0.71, 0.97) in men and 0.73 (0.63, 0.84) in women (Q4 vs. Q1). Per 10-g increment in beans intake created a 1% decreased risk of hyperuricemia in men and 3% in women. The cubic spline suggested a risk reduction for hyperuricemia with increasing intake of beans. Conclusion: A higher beans intake was associated with a lower serum urate level and a reduced risk of hyperuricemia in both sexes, and the association was more pronounced in women.
Background and Aims: Beans are rich in purines, which are important substances that lead to elevated serum urate, especially exogenous purines. Few studies were conducted to assess the relationship between beans intake and serum urate or hyperuricemia, especially in rural people. The purpose of this study was to validate the association by gender in the rural Chinese population. Methods: A total of 38,855 participants aged 18-79 years old were enrolled from the Henan Rural Cohort Study (Registration number: ChiCTR-OOC-15006699). Dietary data were collected using a validated food frequency questionnaire (FFQ). Linear regression models and logistic regression models were used to examine the associations between beans intake and serum urate levels or hyperuricemia. Restricted cubic spline regression was performed to display the dose-response relationship. Results: In multivariate-adjusted linear regression, an inverse correlation was found between beans intake and serum urate level (the highest quartile Q4 vs. the bottom quartile Q1) in both men (P = 0.008) and women (P < 0.001). Per 10-g increment in beans intake was associated with 0.30 μmol/L decreased concentration of serum urate in men and 0.71 μmol/L in women. The multivariate-adjusted odds ratios (ORs) of hyperuricemia were 0.83 (0.71, 0.97) in men and 0.73 (0.63, 0.84) in women (Q4 vs. Q1). Per 10-g increment in beans intake created a 1% decreased risk of hyperuricemia in men and 3% in women. The cubic spline suggested a risk reduction for hyperuricemia with increasing intake of beans. Conclusion: A higher beans intake was associated with a lower serum urate level and a reduced risk of hyperuricemia in both sexes, and the association was more pronounced in women.
Authors: T Ikenaga; H Noguchi; K Kakumoto; N Kohda; H Tsukikawa; K Matsuguma; T Yamamoto Journal: Nucleosides Nucleotides Nucleic Acids Date: 2019-08-30 Impact factor: 1.381
Authors: 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 Journal: Eur J Nutr Date: 2019-08-05 Impact factor: 5.614
Authors: Melanie Kolz; Toby Johnson; Serena Sanna; Alexander Teumer; Veronique Vitart; Markus Perola; Massimo Mangino; Eva Albrecht; Chris Wallace; Martin Farrall; Asa Johansson; Dale R Nyholt; Yurii Aulchenko; Jacques S Beckmann; Sven Bergmann; Murielle Bochud; Morris Brown; Harry Campbell; John Connell; Anna Dominiczak; Georg Homuth; Claudia Lamina; Mark I McCarthy; Thomas Meitinger; Vincent Mooser; Patricia Munroe; Matthias Nauck; John Peden; Holger Prokisch; Perttu Salo; Veikko Salomaa; Nilesh J Samani; David Schlessinger; Manuela Uda; Uwe Völker; Gérard Waeber; Dawn Waterworth; Rui Wang-Sattler; Alan F Wright; Jerzy Adamski; John B Whitfield; Ulf Gyllensten; James F Wilson; Igor Rudan; Peter Pramstaller; Hugh Watkins; Angela Doering; H-Erich Wichmann; Tim D Spector; Leena Peltonen; Henry Völzke; Ramaiah Nagaraja; Peter Vollenweider; Mark Caulfield; Thomas Illig; Christian Gieger Journal: PLoS Genet Date: 2009-06-05 Impact factor: 5.917