Tang Mingjie, Li Yinghong, Chen Zhaoming, Yang Jingqi
Nanjing Hospital of Chinese Medicine Affiliated to Nanjing University of Chinese Medicine, Nanjing University of Chinese Medicine Nanjing, Nanjing, Jiangsu, China.
Nanjing University of Chinese Medicine, Nanjing, Jiangsu, China.
Sci Rep. 2025 Jul 1;15(1):22196. doi: 10.1038/s41598-025-08138-4.
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.
目前关于内脏脂肪指数（VAI）对高尿酸血症（HUA）和痛风影响的文献并不充分。本研究旨在探讨VAI与HUA及痛风患病率之间的相关性。这项横断面分析采用了2007年至2018年期间进行的美国国家健康与营养检查调查的数据。我们的调查数据源自美国，研究人群为美国成年人。使用VAI评分评估内脏脂肪，通过血清尿酸浓度确定HUA，并通过相关问卷诊断痛风。采用逻辑回归模型研究VAI与HUA及痛风患病率之间的关系。我们还利用受限立方样条（RCS）、亚组和敏感性分析、受试者工作特征曲线以及阈值分析来证实研究结果。总共纳入了14262名成年参与者，其中包括3025名HUA患者和668名痛风患者。HUA和痛风的患病率分别为21.21%和4.68%。多变量逻辑回归分析表明，VAI升高与HUA和痛风的较高患病率之间存在强烈相关性。将VAI分为四分位数显示，最高四分位数组的HUA和痛风患病率明显高于最低四分位数组，优势比（OR）分别为4.17（95%CI 3.64 - 4.78）和2.04（95%CI 1.57 - 2.64）。RCS揭示了VAI与这两种情况之间的非线性关联。阈值分析确定HUA的关键临界点为3.520，痛风为3.568。在所有亚组中，VAI升高与痛风的发生密切相关。敏感性分析验证了这些结果的可靠性。我们的研究表明，VAI水平升高与HUA和痛风的较高患病率之间存在显著相关性。维持最佳VAI水平可能是预防和管理这两种疾病的有用策略。
