This study compares seven anthropometric indexes to predict hypertension plus hyperuricemia (HTN-HUA) among U.S. adults. The indexes include the atherogenic index of plasma (AIP), lipid accumulation product (LAP), visceral adiposity index (VAI), triglyceride-glucose index (TyG), body roundness index (BRI), body shape index (ABSI), and cardiometabolic index (CMI). Data were collected from the National Health and Nutrition Examination Survey (NHANES), which included 23,478 participants. Logistic regression analysis and receiver operating characteristic (ROC) curves were used to assess the association between these indexes and HTN-HUA. The results showed that all seven indexes were significantly associated with HTN-HUA. The odds ratios (ORs) for the highest quartile of these indexes were highest for LAP (9.52) and BRI (9.08). The area under the curve (AUC) values for LAP and BRI were 0.72 and 0.73, respectively, indicating their strong discriminatory ability for HTN-HUA. The study concludes that all seven indexes are significantly correlated with HTN-HUA, with LAP and BRI demonstrating the best predictive power. BRI is highlighted as a non-invasive and effective tool for predicting HTN-HUA, making it a superior choice for early detection and management strategies. The study also notes that while BRI is more effective, other indexes such as LAP, VAI, TyG, ABSI, and CMI also show significant associations with HTN-HUA. The study emphasizes the importance of using these anthropometric indexes in clinical settings for early detection and management of HTN-HUA.This study compares seven anthropometric indexes to predict hypertension plus hyperuricemia (HTN-HUA) among U.S. adults. The indexes include the atherogenic index of plasma (AIP), lipid accumulation product (LAP), visceral adiposity index (VAI), triglyceride-glucose index (TyG), body roundness index (BRI), body shape index (ABSI), and cardiometabolic index (CMI). Data were collected from the National Health and Nutrition Examination Survey (NHANES), which included 23,478 participants. Logistic regression analysis and receiver operating characteristic (ROC) curves were used to assess the association between these indexes and HTN-HUA. The results showed that all seven indexes were significantly associated with HTN-HUA. The odds ratios (ORs) for the highest quartile of these indexes were highest for LAP (9.52) and BRI (9.08). The area under the curve (AUC) values for LAP and BRI were 0.72 and 0.73, respectively, indicating their strong discriminatory ability for HTN-HUA. The study concludes that all seven indexes are significantly correlated with HTN-HUA, with LAP and BRI demonstrating the best predictive power. BRI is highlighted as a non-invasive and effective tool for predicting HTN-HUA, making it a superior choice for early detection and management strategies. The study also notes that while BRI is more effective, other indexes such as LAP, VAI, TyG, ABSI, and CMI also show significant associations with HTN-HUA. The study emphasizes the importance of using these anthropometric indexes in clinical settings for early detection and management of HTN-HUA.