{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,8,29]],"date-time":"2026-08-29T10:15:53Z","timestamp":1787998553625,"version":"build-2784847793"},"reference-count":49,"publisher":"Wiley","issue":"1","license":[{"start":{"date-parts":[[2026,8,29]],"date-time":"2026-08-29T00:00:00Z","timestamp":1787961600000},"content-version":"vor","delay-in-days":240,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"},{"start":{"date-parts":[[2026,1,1]],"date-time":"2026-01-01T00:00:00Z","timestamp":1767225600000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/doi.wiley.com\/10.1002\/tdm_license_1.1"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["International Journal of Endocrinology"],"published-print":{"date-parts":[[2026,1]]},"abstract":"<jats:sec>\n                    <jats:title>Objective<\/jats:title>\n                    <jats:p>This study investigated the associations between five insulin resistance (IR)\u2010related surrogate indices and gout and compared their associations and discriminative abilities for gout. The indices included the triglyceride\u2010glucose (TyG) index, TyG combined with body mass index (TyG\u2010BMI), lipid accumulation product (LAP), visceral adiposity index (VAI), and metabolic score for insulin resistance (METS\u2010IR).<\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Methods<\/jats:title>\n                    <jats:p>\n                      Data from the 2007\u20132018 National Health and Nutrition Examination Survey (NHANES) were analyzed. Comparisons between the gout and nongout groups were performed using\n                      <jats:italic>t<\/jats:italic>\n                      \u2010tests and chi\u2010square tests. Multivariable logistic regression and subgroup analyses were used to assess the associations.\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Results<\/jats:title>\n                    <jats:p>\n                      Among 14,582 participants (4.80% with gout), adjusted analyses identified the highest METS\u2010IR quartile as the strongest predictor of gout (adjusted OR\u2009=\u20092.823, 95%CI 1.643\u20134.851), followed by TyG\u2010BMI (OR\u2009=\u20092.290, 95%CI 1.555\u20133.373). Restricted cubic splines revealed nonlinear associations of TyG and LAP with gout risk, contrasting with linear trends for TyG\u2010BMI, VAI, and METS\u2010IR. Subgroup analyses suggested that elevated TyG and VAI were positively associated with gout in nondiabetic individuals (interaction\n                      <jats:italic>p<\/jats:italic>\n                      &lt; 0.05).\n                    <\/jats:p>\n                  <\/jats:sec>\n                  <jats:sec>\n                    <jats:title>Conclusion<\/jats:title>\n                    <jats:p>All five IR\u2010related 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.<\/jats:p>\n                  <\/jats:sec>","DOI":"10.1155\/ije\/7431198","type":"journal-article","created":{"date-parts":[[2026,8,29]],"date-time":"2026-08-29T09:15:46Z","timestamp":1787994946000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":0,"title":["Associations of Five Insulin Resistance\u2010Related Indices With Gout Risk in the 2007\u20132018 NHANES Cross\u2010Sectional 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