Skip to main content

Table 2 Association between baseline SUA levels and incident MetS by gender

From: Temporal changes in serum uric acid and risk for metabolic syndrome: a longitudinal cohort study

Categories Event/total Unadjusted Model
HR (95%CI) P Value
Model 1
HR (95%CI) P Value
Model 2
HR (95%CI) P Value
Baseline SUA in men       
 Q1 (< 313 μmol/L) 475/4380 1 (reference)   1 (reference)   1 (reference)  
 Q2 (313 to < 346 μmol/L) 618/4290 1.38 (1.22, 1.55)  < 0.001 1.41 (1.25, 1.59)  < 0.001 1.38 (1.23, 1.56)  < 0.001
 Q3 (346 to < 379 μmol/L) 706/4437 1.57 (1.40, 1.76)  < 0.001 1.60 (1.43, 1.80)  < 0.001 1.53 (1.36, 1.72)  < 0.001
 Q4 (379 to < 419 μmol/L) 883/4417 1.97 (1.76, 2.20)  < 0.001 2.01 (1.80, 2.25)  < 0.001 1.91 (1.70, 2.14)  < 0.001
 Q5 (≥ 419 μmol/L) 1160/4448 2.73 (2.45, 3.04)  < 0.001 2.77 (2.49, 3.08)  < 0.001 2.59 (2.32, 2.88)  < 0.001
 P for trend    < 0.001    < 0.001    < 0.001
 Per 10 units increase 3842/21972 1.06 (1.05, 1.06)  < 0.001 1.06 (1.05, 1.06)  < 0.001 1.05 (1.05, 1.06)  < 0.001
Baseline SUA in women       
 Q1 (< 221 μmol/L) 166/4415 1 (reference)   1 (reference)   1 (reference)  
 Q2 (221 to < 247 μmol/L) 200/4313 1.19 (0.97, 1.47) 0.094 1.19 (0.96, 1.46) 0.105 1.16 (0.94, 1.43) 0.155
 Q3 (247 to < 272 μmol/L) 273/4484 1.59 (1.31, 1.93)  < 0.001 1.53 (1.26, 1.86)  < 0.001 1.51 (1.25, 1.84)  < 0.001
 Q4 (272 to < 304 μmol/L) 404/4520 2.43 (2.03, 2.91)  < 0.001 2.25 (1.88, 2.70)  < 0.001 2.17 (1.81, 2.61)  < 0.001
 Q5 (≥ 304 μmol/L) 576/4472 3.55 (2.99, 4.22)  < 0.001 2.95 (2.48, 3.52)  < 0.001 2.87 (2.41, 3.43)  < 0.001
 P for trend    < 0.001    < 0.001    < 0.001
 Per 10 units increase 1619/22204 1.09 (1.08, 1.10)  < 0.001 1.08 (1.07, 1.09)  < 0.001 1.08 (1.07, 1.09)  < 0.001
  1. SUA serum uric acid, MetS metabolic syndrome, CI confidence interval, TC total cholesterol, LDL-C low-density lipoprotein cholesterol, SCr serum creatinine
  2. Model 1: adjusted for baseline age, smoking status, drinking status
  3. Model 2: adjusted for baseline TC, LDL-C and SCr, in addition to covariates in Model 1