Correlation between serum uric acid level and impaired fasting glucose in adults
10.3760/cma.j.cn115624-20210511-00263
- VernacularTitle:成人血尿酸水平与空腹血糖受损的相关性分析
- Author:
Tong ZHANG
1
;
Mengqian ZHANG
;
Fangshu PENG
;
Feng LI
;
Xiaofeng WENG
;
Zhenhai SHEN
;
Yun LU
;
Shiwei SHEN
Author Information
1. 江苏省太湖疗养院疗养康复中心，无锡 214086
- Keywords:
Uric acid;
Hyperuricemia;
Impaired fasting glucose;
Body mass index;
Diabetes mellitus, type 2
- From:
Chinese Journal of Health Management
2021;15(6):562-566
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the correlation between different serum uric acid (SUA) levels and impaired fasting glucose (IFG) in adults.Methods:From March 2019 to February 2020, 5006 adults in Wuxi area of Taihu Sanatorium in Jiangsu Province were selected as subjects. Quintile method was divided into the following five groups: Q1: SUA<270 μmol/L, Q2: 270 μmol/L SUA 318 μmol/L or less, Q3: 319 μmol/L ≤SUA≤360 μmol/L, Q4: 361 μmol/L SUA 410 μmol/L or less, and Q5: SUA>410 μmol/L. Correlation was analyzed by logistic analysis, with IFG as the outcome index, five SUA groups as the observation index, and gender, age, body mass index (BMI), blood lipid, and blood pressure as confounding factors. Three logistic regression analysis models were constructed to explore the relationship between different SUA level groups and IFG risk, as well as the influence of BMI on the risk correlation between SUA and IFG.Results:The BMI, DBP, FPG, TC, TG, and LDL-C all increased with the increase in SUA level; however, HDL-C gradually decreased with the increase in SUA level (P<0.01). The SUA levels among the five groups were positively correlated with fasting blood glucose level in the IFG group ( r=0.589, P<0.001). After adjusting for age, sex, and BMI, SUA level was strongly associated with fasting glucose in the IFG group ( r=0.534, P<0.001). After further adjustment for blood lipid and blood pressure, the correlation persisted ( r=0.523, P<0.001). With Q1 as the control group, the calculated OR values of IFG risk were 1.199, 2.660, 2.784 and 3.629, respectively. After further adjustment for various confounding factors, the calculated OR values of each group were 1.130, 2.389, 2.350 and 2.895, respectively. The IFG risk in the group with SUA level in the corresponding Q2 and Q5 groups was 1.13 times and 2.90 times higher, respectively, than that in the normal group, indicating that with the increase in SUA level, the IFG risk in the population increased. With the increase in BMI and SUA levels after BMI stratification, the mean fasting glucose level increased ( P<0.001). Conclusion:The SUA level and IFG risk are closely related. Increased SUA level increases IFG risk, and SUA and IFG are associated with weight gain, which should be paid attention to.
