Tian Ruo-Nan, Zhang Sheng-Xiao, Zhang Nan, Shi Yan, Guo Hua-Qing, Wang Chen, Duan Zhi-Guang
College of Humanities and Social Sciences, Shanxi Medical University, Taiyuan, Shanxi, 030001, People's Republic of China.
Key Laboratory of Cellular Physiology at Shanxi Medical University, Ministry of Education, Taiyuan, Shanxi Province, 030001, People's Republic of China.
J Multidiscip Healthc. 2025 Feb 18;18:933-946. doi: 10.2147/JMDH.S508765. eCollection 2025.
This study aims to assess the potential association between NHHR and gout risk among the US adult population.
Utilizing data from the NHANES spanning from 2007 to 2018, we performed a cross-sectional analysis. A weighted multivariable logistic regression model, generalized additive model (GAM) and a restricted cubic spline model were applied to elucidate the association between NHHR and gout risk. In addition, subgroup and sensitivity analyses were conducted to ensure the stability of our findings. This study cohort included 27,731 participants. Multivariate logistic regression analysis indicated a significant correlation between NHHR and the likelihood of gout. This association was sustained after accounting for a range of potential confounding confounders. The risk of gout was observed to escalate with increasing quartiles of NHHR quartiles, with a 67% increased risk in the fourth quartile. Both RCS and curve fitting results indicated a J-shaped relationship between NHHR and gout. The association remained significant in several subgroup analyses. The interaction test did not yield statistically significant effects on this association.
The NHHR is nonlinearly correlated with the risk of gout in US adults. Further investigation research into the role of NHHR in gout could offer new perspectives on the prevention and treatment of gout. However, additional large-scale prospective studies are necessary to validate and reinforce these results.
本研究旨在评估美国成年人群中NHHR与痛风风险之间的潜在关联。
利用2007年至2018年美国国家健康与营养检查调查(NHANES)的数据,我们进行了横断面分析。应用加权多变量逻辑回归模型、广义相加模型(GAM)和受限立方样条模型来阐明NHHR与痛风风险之间的关联。此外,还进行了亚组分析和敏感性分析以确保研究结果的稳定性。本研究队列包括27,731名参与者。多变量逻辑回归分析表明NHHR与痛风发生可能性之间存在显著相关性。在考虑一系列潜在混杂因素后,这种关联仍然存在。随着NHHR四分位数的增加,痛风风险逐渐升高,第四四分位数的风险增加了67%。RCS和曲线拟合结果均表明NHHR与痛风之间呈J形关系。在多项亚组分析中,这种关联仍然显著。交互作用检验对这种关联未产生统计学上的显著影响。
在美国成年人中,NHHR与痛风风险呈非线性相关。对NHHR在痛风中的作用进行进一步研究可能为痛风的预防和治疗提供新的视角。然而,需要更多大规模的前瞻性研究来验证和加强这些结果。