Abstract: Objective To explore the relationship between the indicators of obesity and hyperuricemia (HUA) in the elderly people aged≥ 60 years old, and to provide evidence for the screening and management of HUA. Methods The clinical data including age, height, weight, systolic blood pressure, diastolic blood pressure, blood uric acid, triglycerides, high density lipoprotein cholesterol (HDL-C), low density lipoprotein cholesterol (LDL-C) and waist circumference (WC) were collected by reviewing the physical check report, and body mass index (BMI), body roundness index (BRI), relative fat mass index (RFM), lipid accumulation product (LAP) and visceral adiposity index (VAI) were calculated. The relationship between the obesity indicators and HUA was analyzed by Logistic regression model. Results A total of 10 582 cases were enrolled in this study. There were statistically significant differences in the levels of BMI, WC, BRI, RFM, LAP and VAI between HUA group and non-HUA group(P<0.05). Logistic regression analysis showed that WC (OR=1.029, 95%CI:1.018-1.040), BMI (OR=1.227, 95%CI:1.070-1.407), LAP (OR=1.007, 95%CI:1.003-1.011), BRI (OR=1.474, 95%CI:1.288-1.688) and RFM (OR=1.070, 95%CI:1.046-1.095) were associated with HUA. The area under the receiver operating characteristic curve of LAP in predicting HUA was greatest. Conclusions Some obesity indicators are risk factors for HUA in the elderly, and LAP has the greatest predictive value, which provides evidence for the management of HUA.

Key words: aged, obesity indicators, hyperuricaemia, lipid accumulation product, visceral adiposity index