Values of Different Obesity Indicators in Predicting the Risk of Hyperuricemia：a Comparative Study

BackgroundIn China, hyperuricemia (HUA) is increasingly prevalent, which is often accompanied by multi-system diseases, and has become the second leading metabolic disease after diabetes mellitus. How to effectively contain its prevalence has become an important public health issue that needs to be solved urgently.ObjectiveTo examine relationships of different obesity indices〔waist circumference (WC) , body mass index (BMI) , waist-to-height ratio (WHtR) , body shape index (ABSI) , body roundness index (BRI) , visceral adiposity index (VAI) and lipid aggregation index (LAP) 〕with HUA, and compare their predictive values for HUA, providing a reference basis for early HUA screening and prevention.MethodsCluster sampling was used to recruit physical examinees from the health management center of a grade A tertiary hospital from January to December 2020. Anthropometric indices included in the analysis included WC, BMI, WHtR, ABSI, BRI, VAI and LAP. Binary Logistic regression was used to assess the correlation of HUA with different obesity indices. Receiver operating characteristic (ROC) curve analysis was performed to estimate the predictive values of these indices for HUA with suggested optimal cut-off points presented.ResultsOf the 32 344 physical examinees in total, 13 546 (41.84%) were found with HUA. Men had higher detection rate of HUA than women〔54.11% (10 026/18 530) vs 25.43% (3 520/13 844) 〕 (P<0.001) . The values of all these obesity indices were higher in male HUA patients than in female HUA patients, with statistically significant differences (P<0.001) . Binary Logistic regression showed that after correcting for confounding variables, WC, BMI, WHtR, ABSI, BRI, VAI, and LAP were all statistically associated with HUA occurrence in both men and women (P<0.001) . In men, the area under the ROC curve (AUC) of WC, BMI, WHtR, ABSI, BRI, VAI and LAP in predicting HUA was 0.612, 0.626, 0.602, 0.512, 0.602, 0.617 and 0.642, respectively, with corresponding optimal cut-off points of 80.5 cm, 24.3 kg/m2, 0.48, 0.072, 3.8, 1.4 and 26.7. In women, the AUC for WC, BMI, WHtR, ABSI, BRI, VAI and LAP in predicting HUA was 0.637, 0.636, 0.637, 0.555, 0.638, 0.583, and 0.660, respectively, with corresponding optimal cut-off points of 72.5 cm, 22.7 kg/m2, 0.47, 0.074, 4.2, 1.3 and 15.3. In both male and female physical examinees, the AUC of LAP predicting HUA was higher than the other six obesity indicators (P<0.05) , and the AUC of ABSI predicting HUA was lower than the other six obesity indicators (P<0.05) .ConclusionThese seven obesity indices were all significantly associated with the occurrence of HUA in men and women. The predictive values of them for HUA were different, and LAP may be the best indicator for predicting the risk of HUA in either men or women