Journal
NUTRITION JOURNAL
Volume 21, Issue 1, Pages -Publisher
BMC
DOI: 10.1186/s12937-022-00789-7
Keywords
Dietary pattern; Hyperuricemia; Principal component analysis; Reduced-rank regression; Partial least-squares
Categories
Funding
- Ministry of Finance of China
- National Key R&D Program of China [2017YFC0907701]
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This study explores the association between dietary patterns and blood uric acid concentrations and hyperuricemia through a nutritional epidemiological survey in China. The results indicate a negative correlation between a plant-based dietary pattern and blood uric acid levels, and a positive correlation between an animal dietary pattern and blood uric acid levels. Additionally, a dietary pattern characterized by high intake of poultry, sugary beverages, and animal organs and low intake of desserts and snacks is associated with a higher risk of hyperuricemia.
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 (beta = - 3.225) and that for the animal dietary pattern was discovered to be directly correlated with blood uric acid levels (beta = 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.
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