Literature DB >> 31342970

Association of dietary fiber intake with hyperuricemia in U.S. adults.

Yongye Sun1, Jianping Sun, Peipei Zhang, Feng Zhong, Jing Cai, Aiguo Ma.   

Abstract

Current evidence on the relationship between dietary fiber intake and risk of hyperuricemia is limited. The aim of the present study was to examine their associations in the U.S. general adult population. Data from the National Health and Nutrition Examination Survey (NHANES) 2009 to 2014 were used. Dietary fiber intake was extracted through two 24 h dietary recall interviews. Hyperuricemia was defined by cut-off values of 7.0 mg dL-1 for men and 6.0 mg dL-1 for women. Multivariable logistic regression models and restricted cubic spline models were applied to explore the associations between dietary intakes of total, cereal, fruit and vegetable fiber and the risk of hyperuricemia. A total of 12 869 participants aged 20 years or older were included in the present study. The multivariable odds ratio (OR) and 95% confidence interval (CI) of hyperuricemia for the highest vs. lowest quartile intake of total fiber were 0.58 (0.46-0.74), 0.61 (0.52-0.74) for cereal fiber, 0.94 (0.76-1.16) for fruit fiber and 0.95 (0.76-1.18) for vegetable fiber. The inverse associations between dietary intakes of total fiber and cereal fiber and the risk of hyperuricemia were observed in men. In stratified analysis by age (<45 years, ≥45 years), the inverse association between total fiber intake and the risk of hyperuricemia was consistent, while cereal fiber intake was only inversely associated with hyperuricemia among participants <45 years old. Dose-response analyses showed that the risk of hyperuricemia was associated with dietary intake of total fiber in a nonlinear manner, whereas the relationship was linear for cereal fiber intake. In conclusion, dietary intakes of total fiber and cereal fiber were inversely associated with the risk of hyperuricemia in the U.S. adult population.

Entities:  

Year:  2019        PMID: 31342970     DOI: 10.1039/c8fo01917g

Source DB:  PubMed          Journal:  Food Funct        ISSN: 2042-6496            Impact factor:   5.396


  10 in total

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Journal:  Acta Pharmacol Sin       Date:  2020-06-17       Impact factor: 6.150

2.  The Association between Purine-Rich Food Intake and Hyperuricemia: A Cross-Sectional Study in Chinese Adult Residents.

Authors:  Sumiya Aihemaitijiang; Yaqin Zhang; Li Zhang; Jiao Yang; Chen Ye; Mairepaiti Halimulati; Wei Zhang; Zhaofeng Zhang
Journal:  Nutrients       Date:  2020-12-15       Impact factor: 5.717

3.  Association Between Dietary Fiber Intake and Non-alcoholic Fatty Liver Disease in Adults.

Authors:  Huimin Zhao; Aihua Yang; Lina Mao; Yaning Quan; Jiajia Cui; Yongye Sun
Journal:  Front Nutr       Date:  2020-11-19

4.  Working for Long Hours Is Associated With Dietary Fiber Insufficiency.

Authors:  Jeehee Min; Dong-Wook Lee; Mo-Yeol Kang; Jun-Pyo Myong; Hyoung-Ryoul Kim; Jongin Lee
Journal:  Front Nutr       Date:  2022-02-18

5.  Dietary Pattern Associated with the Risk of Hyperuricemia in Chinese Elderly: Result from China Nutrition and Health Surveillance 2015-2017.

Authors:  Yuxiang Yang; Wei Piao; Kun Huang; Hongyun Fang; Lahong Ju; Liyun Zhao; Dongmei Yu; Yanan Ma
Journal:  Nutrients       Date:  2022-02-17       Impact factor: 5.717

6.  Association between Dietary Fiber Intake and Hyperuricemia among Chinese Adults: Analysis of the China Adult Chronic Disease and Nutrition Surveillance (2015).

Authors:  Qianrang Zhu; Lianlong Yu; Yuqian Li; Qingqing Man; Shanshan Jia; Yonglin Zhou; Hui Zuo; Jian Zhang
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7.  Correlation of obesity, dietary patterns, and blood pressure with uric acid: data from the NHANES 2017-2018.

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9.  Association of dietary patterns with blood uric acid concentration and hyperuricemia in northern Chinese adults.

Authors:  Meiqi Zhou; Xin Huang; Ruiqiang Li; Zechen Zhang; Limin Zhang; Xian Gao; Hui Yang; Yuxia Ma
Journal:  Nutr J       Date:  2022-06-23       Impact factor: 4.344

10.  The Prevalence of Hyperuricemia and Its Correlates among Adults in China: Results from CNHS 2015-2017.

Authors:  Wei Piao; Liyun Zhao; Yuxiang Yang; Hongyun Fang; Lahong Ju; Shuya Cai; Dongmei Yu
Journal:  Nutrients       Date:  2022-10-02       Impact factor: 6.706

  10 in total

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