Abstract
Background
Both obesity and dyslipidemia are associated with hyperuricemia (HUA). However, it is unclear which obesity indices or lipid parameters are strongly associated with HUA. Therefore this study aims to analyze and compare the associations of HUA with the obesity indices, lipid parameters, and its discriminative power. To provide early guidance on risk predictors of HUA in the Chinese population.
Methods
This study was a cross-sectional survey including 60,516 participants. Investigators conducted face-to-face interview surveys and physical examinations. Automated biochemical methods were used to detect biochemical indicators. Logistic regression was used to analyze the relationship between obesity indices, lipid parameters, and HUA. The odds ratio (OR) value and 95% confidence interval (95%CI) were used to reflect the strength of their association. Receiver operating characteristic (ROC) curve was used for assessing the predictive ability of different indices of HUA.
Results
Multivariate logistic regression analysis showed that compared with other obesity indices and lipid parameters, the LAP index has a significant association with HUA, especially in females (total participants, OR 7.143, 95% CI 6.669-7.652, P<0.001; males, OR 5.831, 95% CI 5.353-6.352, P<0.001; females, OR 8.178, 95% CI 7.209-9.277, P<0.001). Except for Hdlc, all other indices could predict the occurrence of HUA. For males, the area under the curve (AUC) of the LAP index was the largest (AUC 0.665, 95% CI 0.659-0.671, P < 0.001), with a cut-off value of 33.135. In females, the LAP index also showed a maximum AUC value of 0.701 (95%CI 0.712-0.730, P < 0.001), with a cut-off value of 20.465.
Conclusions
The LAP index was significantly associated with HUA and had better power to discriminate HUA compared with other obesity indices or lipid parameters in the Chinese population.
Trial registration
Not applicable.