Replication Data for: Biological Sex, Age, and Ethnicity-Specific Thresholds for TyG and TyG-BMI Indices Improve Mortality Risk Prediction in U.S. Adults: Analysis of the NHANES Cross-Sectional Study

Many alternative indices for insulin resistance are under investigation for their ability to assess insulin resistance and for their association with specific pathologies or their predictive value for such conditions. Among these, two newer indices—the triglyceride-glucose (TyG) index and the TyG-BMI index—are particularly promising because triglycerides and glucose can be measured at lower cost than insulin. However, three key demographic factors—biological sex, age, and ethnicity—that are known to influence the predictive performance of other indices have not yet been examined for these measures. This study provides data to replicate research aimed at determining optimal cutoffs for the TyG and TyG-BMI indices and at evaluating whether these cutoffs vary by age, biological sex, and ethnicity. Finally, the findings show that using demographic-specific cutoffs, rather than a single general cutoff, improves the predictive accuracy of these indices for all-cause mortality.