Cross-lagged analysis of the relationship between serum uric acid and dyslipidemia
Objective To study the relationship between elevated serum uric acid levels and serum lipids,and to provide evidence for the prevention and control of dyslipidemia and hyperuricemia.Methods A multi-level stratified random sampling method was used to conduct a baseline survey among permanent residents aged 18 and above in Yandu District,Yancheng City,Jiangsu Province from April to July 2017.And the cohort was followed up in 2022.The Cross-lag model was used to investigate the rela-tionship between serum uric acid(SUA)level and blood lipid,including serum total cholesterol(TC),low-density lipoprotein cholesterol(LDL-C),triglyceride(TG),and high-density lipoprotein cholesterol(HDL-C).In addition,gender stratified analysis was conducted to explore whether there were gender differences in the relationship between SUA level and dyslipidemia.Results A total of 1 347 eligible subjects were included in the study.The path coefficients from baseline TC to follow-up SUA were statisti-cally significant in the general population(β=3.402,P=0.048)and men(β=7.214,P=0.012).The path coefficients from baseline SUA to follow-up TC were not statistically significant(P=0.958).The path coefficients from baseline TG to follow-up SUA were statistically significant in the general population(β=2.357,P=0.011)and men(β=3.425,P=0.011).The path coefficients from baseline SUA to follow-up TG were not statistically significant(P=0.188).The path coefficients from baseline SUA to follow-up HDL-C were statistically significant in the general population(β=0.002,P＜0.001),men(β=0.001,P＜0.001),and women(β=0.003,P＜0.001).The path coefficients from baseline HDL-C to follow-up SUA were not statistically significant(P=0.461).The path coefficients of baseline SUA to follow-up LDL-C were statistically significant in the general population(β=0.002,P＜0.001),men(β=0.004,P＜0.001),and women(β=0.001,P=0.015).The path coefficients from baseline LDL-C to follow-up SUA were not statistically significant(P=0.436).Conclusions Serum uric acid and lipid levels interact with each other.The increase of TC and TG levels may lead to an increase in SUA level,the increase of SUA level may lead to an increase in LDL-C level,and the increase in SUA level may lead to a decrease in HDL-C level.
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