Relationship between gout, hyperuricemia, and obesity-does central obesity play a significant role?-a study based on the NHANES database

• Published in: Diabetology and metabolic syndrome Vol. 16; no. 1; pp. 24 - 12
• Main Authors: Mao, Tongjun, He, Qian, Yang, Junping, Jia, Lanlan, Xu, Guofei
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 22.01.2024; BioMed Central; BMC
• Subjects: Analysis; BMI,WWI and BRI; Body mass index; Cardiovascular disease; Central obesity; Chronic illnesses; Cross-sectional study; Diabetes; Gastrointestinal surgery; Gout; Health surveys; Heart; Hypertension; Hyperuricemia; Metabolic syndrome; Obesity; Overweight; Regression analysis; Sensitivity analysis; Stroke; Surveys; Type 2 diabetes; Uric acid; Variables; Weight control; Taiwan; United States > US; Hyperuricemia; Cross-sectional study; BMI,WWI and BRI; Gout; Central obesity
• ISSN: 1758-5996; 1758-5996
• DOI: 10.1186/s13098-024-01268-1

Our objective was to evaluate how various measures of obesity, such as body mass index(BMI), body roundness index(BRI), and weigh adjusted waist index(WWI), influence urate levels, prevalence of gout and to compare the disparities among these obesity indicators. By analyzing the 2001-2018 National Health and Nutrition Examination Survey (NHANES), we assessed the relationship between BMI, WWI, and BRI indices and urate levels, hyperuricemia, and the prevalence of gout. Smoothed curve fitting was used to determine whether there was a nonlinear relationship between BMI,WWI, and BRI indices and urate levels, hyperuricemia, and the prevalence of gout, and threshold effects analysis was used to test this relationship. We also used ROC curves to determine the diagnostic efficacy of BMI, WWI, and BRI on the prevalence of hyperuricemia and gout. The study incorporated a total of 29,310 participants aged over 20 years, out of which 14,268 were male. Following the adjustment for the pertinent confounding factors, it was observed that higher levels of BMI, WWI, and BRI were significantly associated with a gradual and dose-dependent increase in urate levels. In the sensitivity analysis, each unit increment in BMI, WWI, and BRI levels exhibited an 8%, 72%, and 26% respective elevation in the risk of hyperuricemia, as well as a 5%, 31%, and 15% respective increase in the risk of gout. Dose-response curves provided evidence of a linear positive correlation between BMI, WWI, BRI, and urate levels, as well as the prevalence of hyperuricemia and gout. Based on the response from the ROC curve, overall, the diagnostic efficacy of BRI for hyperuricemia and gout surpasses that of BMI. The central obesity indices WWI and BRI levels are superior to BMI in detecting the prevalence of urate levels, hyperuricemia, and gout, and although a clear causal relationship has not yet been established, it is important to recognize the impact of central obesity on uric acid levels and to give it due attention.