Abstract
Objective
This study investigated the associations between five insulin resistance (IR)‐related surrogate indices and gout and compared their associations and discriminative abilities for gout. The indices included the triglyceride‐glucose (TyG) index, TyG combined with body mass index (TyG‐BMI), lipid accumulation product (LAP), visceral adiposity index (VAI), and metabolic score for insulin resistance (METS‐IR).
Methods
Data from the 2007–2018 National Health and Nutrition Examination Survey (NHANES) were analyzed. Comparisons between the gout and nongout groups were performed using
t
‐tests and chi‐square tests. Multivariable logistic regression and subgroup analyses were used to assess the associations.
Results
Among 14,582 participants (4.80% with gout), adjusted analyses identified the highest METS‐IR quartile as the strongest predictor of gout (adjusted OR = 2.823, 95%CI 1.643–4.851), followed by TyG‐BMI (OR = 2.290, 95%CI 1.555–3.373). Restricted cubic splines revealed nonlinear associations of TyG and LAP with gout risk, contrasting with linear trends for TyG‐BMI, VAI, and METS‐IR. Subgroup analyses suggested that elevated TyG and VAI were positively associated with gout in nondiabetic individuals (interaction
p
Conclusion
All five IR‐related indices showed positive associations with gout, particularly in those with central obesity. These indices showed modest discriminative ability for gout, and further validation is needed.