ObjectiveTo investigate the association of metabolic syndrome (MetS) and its components with gout.MethodsThis cross-sectional study utilized data from 28 130 adult participants in the National Health and Nutrition Examination Survey (NHANES) between 2007 and 2018. Logistic regression was used to assess the associations of MetS and its components with gout. Restricted cubic spline (RCS) models were employed to examine non-linear dose-response relationships between metabolic indicators and gout. Subgroup analyses were performed by age, sex, and body mass index (BMI), with interaction effects evaluated using the Wald test by including multiplicative interaction terms in the logistic regression models.ResultsThe prevalence of MetS was substantially higher in individuals with gout than in those without (66.9% vs. 33.3%). After adjusting for age, sex, BMI, smoking, and alcohol consumption, MetS was independently associated with gout (OR=2.55, 95%CI: 1.55-4.20, PPPPPvs. 2.34, interaction P=0.034), and the association of diabetes with gout was more pronounced in those aged ≥50 years (OR=4.58) and in non-obese individuals (OR=5.21) (both interaction PConclusionMetS is independently associated with gout, exhibiting significant non-linear dose-response characteristics and population heterogeneity.
LI et al. (Sun,) studied this question.