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

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...

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Detalles Bibliográficos
Autores principales: Zhou, Meiqi, Huang, Xin, Li, Ruiqiang, Zhang, Zechen, Zhang, Limin, Gao, Xian, Yang, Hui, Ma, Yuxia
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9219223/
https://www.ncbi.nlm.nih.gov/pubmed/35739563
http://dx.doi.org/10.1186/s12937-022-00789-7
Descripción
Sumario: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. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12937-022-00789-7.