Evidence map›Paper›PMID 42332440›Full record

ArticleMedicine2026

Dietary intake and hyperuricemia among US adults: A matched case-control analysis of NHANES 2001-2020.

Honggui Ma, Huixin Ge, Quliang Zhong, Guangyu Li, Zinian Wang

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Article in Medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Honggui MaDepartment of Urology, the Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China PR.
Huixin GeDepartment of Urology, the Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China PR.
Quliang ZhongDepartment of Urology, the Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China PR.
Guangyu LiDepartment of Urology, the Affiliated Hospital of Guizhou Medical University, Guiyang, Guizhou, China PR.
Zinian WangThe Key Laboratory of Environmental Pollution Monitoring and Disease Control, Ministry of Education, Guizhou Provincial Engineering Research Center of Ecological Food Innovation, Collaborative Innovation Center for Prevention and Control of Endemic and Ethnic Regional Diseases Co-constructed by the Province and Ministry, State Key Laboratory of Functions and Applications of Medicinal Plants, School of Public Health, Guizhou Medical University, Guiyang, Guizhou, China PR.ORCID 0000-0002-3088-6995

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Hyperuricemia, a chronic metabolic condition characterized by elevated serum uric acid levels, is a major risk factor for gout and has also been associated with cardiovascular disease, hypertension, chronic kidney disease, and metabolic syndrome. Although diet is widely recognized as an important modifiable factor in hyperuricemia, the associations between specific food groups and hyperuricemia remain incompletely understood. In this frequency-matched case-control analysis using data from the National Health and Nutrition Examination Survey 2001-2020, we included 886 individuals with hyperuricemia and 2171 matched controls. Dietary intake was assessed using 24-hour dietary recall data. Unconditional multivariable logistic regression models were applied to examine the associations between food group intake and hyperuricemia, and odds ratios (ORs) with 95% confidence intervals (CIs) were calculated by comparing the highest with the lowest intake quantiles. False discovery rate-adjusted P for trend values were additionally calculated to account for multiple comparisons. Higher intake of legumes, nuts, and seeds (OR, 0.74; 95% CI, 0.57-0.96), grain products (OR, 0.78; 95% CI, 0.62-0.96), whole-wheat bread, oats, and brown rice (OR, 0.76; 95% CI, 0.62-0.93), eggs (OR, 0.85; 95% CI, 0.77-0.94), and milk products (OR, 0.64; 95% CI, 0.51-0.79) were associated with lower odds of hyperuricemia. In contrast, higher intake of meat, poultry, and fish (OR, 1.22; 95% CI, 1.12-1.33), fish and seafood (OR, 1.09; 95% CI, 1.01-1.23), sugars, sweets, and beverages (OR, 1.60; 95% CI, 1.28-2.00), soft drinks (OR, 1.11; 95% CI, 1.03-1.21), sugar-sweetened soft drinks (OR, 1.13; 95% CI, 1.03-1.23), and sugar-sweetened tea (OR, 1.86; 95% CI, 1.11-3.12) were associated with higher odds of hyperuricemia. The overall directions of the observed associations were largely unchanged after false discovery rate adjustment, although fewer trend tests remained statistically significant. Several dietary factors were associated with hyperuricemia in this National Health and Nutrition Examination Survey-based frequency-matched case-control analysis. These findings may help inform dietary strategies for the prevention and management of hyperuricemia. However, the observed associations should be interpreted cautiously, particularly in light of multiple-comparison adjustment, and further studies are warranted to confirm the findings and clarify their clinical implications.

Indexed as

DietHyperuricemiaAdultCase-Control StudiesFemaleHumansLogistic ModelsMaleMiddle AgedNutrition SurveysOdds RatioRisk FactorsUnited StatesUric AcidUric Aciddietary intakefood groupshyperuricemiaNational Health and Nutrition Examination Survey (NHANES)uric acid metabolism

Identifiers

PMID42332440
PMCPMC13286322

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.