Correlation study on the serum uric acid and free fatty acid levels of Shandong coastal inhabitants / 中华内分泌代谢杂志

ABSTRACT

To evaluate the correlation of the serum uric acid and free fatty acid (FFA) levels in Shandong coastal residents. To investigate the correlation between serum uric acid and FFA based on 3860 individuals who have been long staying in Qingdao, Yantai, Weihai, Rizhao with a randomized, stratified cluster sampling method. According to FFA quartile, subjects were divided into four groups group Q1 of 908, group Q21016, group Q3958, and group Q4978 cases. The prevalence of hyperuricemia and serum uric acid levels increased with the increasing FFA quartile. Compared with Q1, Q2, and Q3 groups, the prevalence of hyperuricemia in Q4 group and the increase of serum uric acid were statistically significant(P<0. 05). And in the group Q4, hyperuricemia prevalence is twice as the group A. According to the serum uric acid level, subjects were divided into the normal uric acid group(n=3331) and the hyperuricemia group ( n = 529). In the hyperuricemia group, their systolic blood pressure, diastolic blood pressure, waist circumference, hip circumference, triglycerides, total cholesterol, low density lipoprotein-cholesterol (LDL-C), glucose, uric acid, FFA, body mass index etc. were significantly higher than those of the normal uric acid group (all P<0. 01), while the high density lipoprotein-cholesterol ( HDL-C), cystatin, glomerular filtration rate (eGFR) are significantly lower than those of the normal uric acid group( all P<0. 01). Serum uric acid levels are positively correlated with systolic and diastolic blood pressures, waist and hip circumferences, triglycerides, total cholesterol, LDL-C, FFA, blood glucose, body mass index (all P<0. 01); and negatively correlated with eGFR (P<0. 01). Multiple regression analysis showed that systolic blood pressure, FFA, total cholesterol, triglycerides, LDL-C, blood glucose, body mass index, eGFR were factors influencing serum uric acid independently. Multivariate binary logistic regression analysis showed that systolic blood pressure, waist circumference, total cholesterol, blood glucose, and FFA are independent risk factors to predict hyperuricemia onset while eGFR is a protective factor. Serum uric acid level is closely related to the free fatty acid, and FFA seems to be involved in the development and progression of hyperuricemia.