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Dietary Inflammatory Index and the Risk of Hyperuricemia: A Cross-Sectional Study in Chinese Adult Residents

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Background: Dietary Inflammatory Index (DII) scores have been consistently associated with several chronic diseases. This study explored the correlation between the DII and hyperuricemia in Chinese adult residents. Methods: The study included 7880 participants from the China Health and Nutrition Survey (CHNS), which was taken in in 2009. A 3-day 24 h meal review method was used to collect diet data and to calculate the DII score. Serum uric acid was obtained to determine hyperuricemia levels. Subjects were divided into a hyperuricemia group and a non-hyperuricemia group, according to their serum uric acid level. Multilevel logistic regression models were used to examine the association between DII scores and hyperuricemia. Results: After adjusting for covariates, a higher DII score was determined to be associated with a higher risk of hyperuricemia. Compared to those in the highest DII score group, the lower DII score group had an inverse association with hyperuricemia risk (Q2: 0.83, 95% CI: 0.70–0.99; Q3: 0.72, 95% CI: 0.60–0.86; Q4: 0.73, 95% CI: 0.61–0.88). The intake of energy-adjusted protein, total fat, MUFAs, PUFAs and saturated fatty acid was higher in the hyperuricemia group. Conclusions: A higher DII score is significantly associated with a higher risk of hyperuricemia. Controlling the intake of pro-inflammatory food may be beneficial to reduce the risk of hyperuricemia.
Title: Dietary Inflammatory Index and the Risk of Hyperuricemia: A Cross-Sectional Study in Chinese Adult Residents
Description:
Background: Dietary Inflammatory Index (DII) scores have been consistently associated with several chronic diseases.
This study explored the correlation between the DII and hyperuricemia in Chinese adult residents.
Methods: The study included 7880 participants from the China Health and Nutrition Survey (CHNS), which was taken in in 2009.
A 3-day 24 h meal review method was used to collect diet data and to calculate the DII score.
Serum uric acid was obtained to determine hyperuricemia levels.
Subjects were divided into a hyperuricemia group and a non-hyperuricemia group, according to their serum uric acid level.
Multilevel logistic regression models were used to examine the association between DII scores and hyperuricemia.
Results: After adjusting for covariates, a higher DII score was determined to be associated with a higher risk of hyperuricemia.
Compared to those in the highest DII score group, the lower DII score group had an inverse association with hyperuricemia risk (Q2: 0.
83, 95% CI: 0.
70–0.
99; Q3: 0.
72, 95% CI: 0.
60–0.
86; Q4: 0.
73, 95% CI: 0.
61–0.
88).
The intake of energy-adjusted protein, total fat, MUFAs, PUFAs and saturated fatty acid was higher in the hyperuricemia group.
Conclusions: A higher DII score is significantly associated with a higher risk of hyperuricemia.
Controlling the intake of pro-inflammatory food may be beneficial to reduce the risk of hyperuricemia.

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