ArticleScientific reports2025
Association between visceral adiposity index and hyperuricemia and gout among US adults: a cross-sectional analysis of NHANES 2007-2018.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Effects of Metabolic and Bariatric Surgery on Serum Uric Acid and its Association with Renal Function, and Visceral Adiposity: A Systematic Review and Meta-Analysis.Obesity surgery · 2026Pooled it
- Uric Acid Extremes and Lipid Dysregulation: Evidence from a Large Population-Based Study.Metabolites · 2026Article
- Association between different metabolic obesity phenotypes and hyperuricemia: the modifying role of liver enzymes.Frontiers in public health · 2026Article
- The association between calcium-phosphorus product and hyperuricemia varied in BMI groups: a mediation analysis study.Clinical rheumatology · 2025Article
- Association between normal-weight central obesity and asymptomatic hyperuricemia in Korean adults: a cross-sectional study.BMC public health · 2025Article
- Relationship between the Chinese visceral adiposity index and gout in individuals with type 2 diabetes mellitus: a cross-sectional population-based study.Frontiers in nutrition · 2025Article
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4 authors.
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Abstract
The current literature regarding the influence of the Visceral Adiposity Index (VAI) on Hyperuricemia (HUA) and gout is insufficient. This study sought to examine the correlation between VAI and the prevalence of HUA and gout. This cross-sectional analysis employed data from the National Health and Nutrition Examination Survey conducted between 2007 and 2018. Our survey data originated from the United States, with the study population consisting of U.S. adults. Visceral adiposity was evaluated using the VAI score, HUA was determined by serum uric acid concentrations, and gout was diagnosed by pertinent questionnaires. Logistic regression models were employed to investigate the relationship between VAI and the prevalence of HUA and gout. We additionally utilized restricted cubic splines (RCS), subgroup and sensitivity analyses, receiver operating characteristic curves, and threshold analysis to corroborate the findings. A total of 14,262 adult participants were included, consisting of 3025 individuals with HUA and 668 with gout. The prevalence of HUA and gout was 21.21% and 4.68%, respectively. Multivariate logistic regression analysis demonstrated a strong correlation between increasing VAI and a higher prevalence of both HUA and gout. Stratifying VAI into quartiles revealed that those in the highest quartile exhibited a markedly greater prevalence of HUA and gout relative to those in the lowest quartile, with odds ratios (ORs) of 4.17 (95% CI 3.64-4.78) and 2.04 (95% CI 1.57-2.64), respectively. The non-linear association between VAI and both situations was revealed by RCS. Threshold analysis determined 3.520 as the pivotal tipping point for HUA and 3.568 for gout. In all subgroup, increased VAI was strongly correlated with the occurrence of gout. The sensitivity analysis validated the reliability of these findings. Our investigation demonstrates a significant correlation between elevated VAI levels and a higher prevalence of HUA and gout. Maintaining optimal VAI levels may serve as a useful strategy for the prevention and management of both disorders.
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