Ningning Cui1, Xiaokang Dong1, Wei Liao1, Yuan Xue1, Xiaotian Liu1, Xing Li1, Jian Hou1, Wenqian Huo1, Linlin Li1, Zhenxing Mao1, Chongjian Wang2, Yuqian Li3. 1. Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China. 2. Department of Epidemiology and Biostatistics, College of Public Health, Zhengzhou University, 100 Kexue Avenue, Zhengzhou, 450001, Henan, People's Republic of China. tjwcj2008@zzu.edu.cn. 3. Department of Clinical Pharmacology, School of Pharmaceutical Science, Zhengzhou University, Zhengzhou, Henan, People's Republic of China. liyuqian@zzu.edu.cn.
Abstract
PURPOSE: A significant shift in meal pattern with frequent eating out was closely associated with multiple chronic outcomes, but with limited evidence on hyperuricemia. We aimed to explore the associations between eating out and serum uric acid (SUA) as well as hyperuricemia. METHODS: A total of 29,597 participants were recruited from the Henan Rural Cohort Study. A validated food frequency questionnaire (FFQ) was used to collect dietary data, including the frequency of eating out. Linear regression models were used to examine the association of eating-out frequency with SUA and BMI. Logistic regression and restricted cubic spline were performed to assess the association and dose-response relationship between eating-out frequency and hyperuricemia. The mediation effect of BMI between eating out and the risk of hyperuricemia was evaluated. RESULTS: Eating out was significantly associated with higher SUA levels in the total population and males (P < 0.001). Multivariate-adjusted odds ratios (ORs) with 95% confidence interval (CIs) of hyperuricemia were 1.26 (1.09, 1.46) for the total population and 1.18 (1.00, 1.40) for males (≥ 7 times/week vs 0 time/week). A non-linear positive dose-response relationship between eating-out frequency and hyperuricemia was observed. Furthermore, BMI played a partial mediating role in the relationship between eating out frequency and hyperuricemia, which explained 30.7% in the total population and 44.8% in males. CONCLUSION: Our findings indicated that eating out was associated with increased SUA levels and elevated hyperuricemia risk in rural China, especially in males. Moreover, the relationship was partly mediated by BMI. CLINICAL TRIALS: ChiCTR-OOC-15006699 (2015-07-06).
PURPOSE: A significant shift in meal pattern with frequent eating out was closely associated with multiple chronic outcomes, but with limited evidence on hyperuricemia. We aimed to explore the associations between eating out and serum uric acid (SUA) as well as hyperuricemia. METHODS: A total of 29,597 participants were recruited from the Henan Rural Cohort Study. A validated food frequency questionnaire (FFQ) was used to collect dietary data, including the frequency of eating out. Linear regression models were used to examine the association of eating-out frequency with SUA and BMI. Logistic regression and restricted cubic spline were performed to assess the association and dose-response relationship between eating-out frequency and hyperuricemia. The mediation effect of BMI between eating out and the risk of hyperuricemia was evaluated. RESULTS: Eating out was significantly associated with higher SUA levels in the total population and males (P < 0.001). Multivariate-adjusted odds ratios (ORs) with 95% confidence interval (CIs) of hyperuricemia were 1.26 (1.09, 1.46) for the total population and 1.18 (1.00, 1.40) for males (≥ 7 times/week vs 0 time/week). A non-linear positive dose-response relationship between eating-out frequency and hyperuricemia was observed. Furthermore, BMI played a partial mediating role in the relationship between eating out frequency and hyperuricemia, which explained 30.7% in the total population and 44.8% in males. CONCLUSION: Our findings indicated that eating out was associated with increased SUA levels and elevated hyperuricemia risk in rural China, especially in males. Moreover, the relationship was partly mediated by BMI. CLINICAL TRIALS: ChiCTR-OOC-15006699 (2015-07-06).
Authors: Mehmet Kanbay; Thomas Jensen; Yalcin Solak; Myphuong Le; Carlos Roncal-Jimenez; Chris Rivard; Miguel A Lanaspa; Takahiko Nakagawa; Richard J Johnson Journal: Eur J Intern Med Date: 2015-12-15 Impact factor: 4.487
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