Objective: The purpose of the current study is to explore the demographic characteristics of hyperuricemia in China.
Study Design: The cross-sectional study was conducted, and the CHARLS dataset in 2011 was used.
Methods: Logistic regression model was used to assess the association between BMI and hyperuricemia. We also used restricted cubic spline with three knots to assess the dose–response relationship. To investigate the differences in dose–response relationships in various groups, stratification analysis was conducted.
Results: Of the 9408 middle and older participants, those who were overweight or obese had higher risk for hyperuricemia (OR=1.26, 95% CI=1.01– 1.57; OR=1.90, 95% CI=1.46– 2.47). In the subgroup, the effect of obesity on hyperuricemia was robust in varying gender and age. However, among overweight group, those with being male and aged over 60 years had higher risk for hyperuricemia (male: OR=1.42, 95% CI=1.07– 1.90; over 60 years: OR=1.28, 95% CI=1.03– 1.60). A dose-response relationship was examined between BMI and the risk of hyperuricemia. The result showed that the odds ratio of hyperuricemia and BMI displayed U-shaped nonlinear relationship (P _trend< 0.001, non-linear P < 0.001).
Conclusion: The association between BMI and hyperuricemia showed positive relationship. Specifically, the group with male and age over 60 years had higher risk of hyperuricemia along with increased weight.
Keywords: body mass index, hyperuricemia, CHARLS, middle and older people