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

Meiqi Zhou; Xin Huang; Ruiqiang Li; Zechen Zhang; Limin Zhang; Xian Gao; Hui Yang; Yuxia Ma

doi:10.1186/s12937-022-00789-7

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

Nutr J. 2022 Jun 23;21(1):42. doi: 10.1186/s12937-022-00789-7.

Authors

Meiqi Zhou¹, Xin Huang^{1

2}, Ruiqiang Li¹, Zechen Zhang¹, Limin Zhang¹, Xian Gao¹, Hui Yang³, Yuxia Ma⁴

Affiliations

¹ Department of Nutrition and Food Hygiene, School of Public Health, Hebei Province Key Laboratory of Environment and Human Health, Hebei Medical University, 361 Zhongshan East Road, Hebei Province 050017, Shijiazhuang, China.
² Handan Center for Disease Control and Prevention, Handan, China.
³ Experimental Center, School of Public Health, Hebei Province Key Laboratory of Environment and Human Health, Hebei Medical University, 361 Zhongshan East Road, Hebei Province 050017, Shijiazhuang, China.
⁴ Department of Nutrition and Food Hygiene, School of Public Health, Hebei Province Key Laboratory of Environment and Human Health, Hebei Medical University, 361 Zhongshan East Road, Hebei Province 050017, Shijiazhuang, China. mayuxia@hebmu.edu.cn.

Abstract

Background: Studies have shown that a direct association exists between the diet and blood uric acid concentrations. However, works on the association of dietary patterns with blood uric acid concentrations and hyperuricemia remain limited. OBJECTIVE: This study aims to evaluate the association of dietary patterns with blood uric acid concentrations and hyperuricemia.

Methods: The relationship between dietary patterns and hyperuricemia was explored through a nutritional epidemiological survey in China (n = 4855). Three statistical methods, including principal component analysis, reduced rank regression (RRR), and partial least squares regression, were used to extract dietary patterns. General linear regression and logistic regression analyses were utilized to explore the relationship of dietary patterns with blood uric acid concentrations and hyperuricemia.

Results: After adjusting for potential confounding factors, the score for the plant-based dietary pattern was found to be negatively correlated with blood uric acid levels (β = - 3.225) and that for the animal dietary pattern was discovered to be directly correlated with blood uric acid levels (β = 3.645). The participants in the highest quartile of plant-based dietary pattern scores were at a low risk of hyperuricemia (OR = 0.699; 95% CI: 0.561-0.870, P < 0.05), whereas those in the highest quartile of animal dietary pattern scores were at a high risk of hyperuricemia (OR = 1.401; 95% CI: 1.129-1.739, P < 0.05). The participants in the third quartile of scores for the RRR dietary pattern, which was characterized by the relatively high intake of poultry, sugary beverages, and animal organs and the low intake of desserts and snacks, had a significantly higher risk of hyperuricemia than those in the first quartile of scores for the RRR dietary pattern (OR = 1.421; 95% CI: 1.146-1.763, P < 0.05).

Conclusions: Our research indicated that plant-based dietary pattern analyzed by PCA was negatively associated with blood uric acid concentrations, while animal-based dietary pattern was directly associated with blood uric acid concentrations. The RRR dietary pattern may have the potential to induce elevations in blood uric acid concentrations.

Keywords: Dietary pattern; Hyperuricemia; Partial least-squares; Principal component analysis; Reduced-rank regression.

Publication types

Research Support, Non-U.S. Gov't

MeSH terms

Animals
China / epidemiology
Diet
Humans
Hyperuricemia* / epidemiology
Nutrition Surveys
Risk Factors
Uric Acid

Substances

Uric Acid