Research Article

Association of Serum Uric Acid with Metabolic Syndrome and Its Components: A Mendelian Randomization Analysis

Table 1

Baseline characteristics of CH MetS cohort and those who developed MetS, overweight and obesity, hyperglycemia, hypertension, and dyslipidemia during follow-up.

CharacteristicEntire cohort (n = 1381)MetS (n = 61)Overweight and obesity (n = 125)Hyperglycemia (n = 54)Hypertension (n = 144)Dyslipidemia (n = 169)

Age, year39.48 (12.05)53.98 (12.03)42.90 (11.27)51.46 (12.90)45.08 (11.90)45.90 (12.50)
Smoker, n (%)5 (0.36)0 (0.00)2 (1.60)0 (0.00)1 (0.69)0 (0)
Drinker, n (%)89 (6.46)4 (6.67)11 (8.87)5 (9.43)10 (6.94)9 (5.36)
BMI (kg/m2)22.28 (3.07)26.59 (3.14)23.61 (1.36)25.43 (3.26)24.21 (3.60)23.70 (3.04)
FBS (mmol/L)5.02 (0.53)5.48 (0.81)5.12 (0.63)5.53 (0.35)5.21 (0.66)5.18 (0.60)
SBP (mmHg)119.38 (15.04)134.18 (15.90)121.34 (15.13)130.80 (16.08)126.56 (9.08)125.41 (15.64)
DBP (mmHg)72.79 (9.77)79.67 (9.92)73.34 (9.18)77.39 (12.35)78.22 (7.32)75.70 (9.90)
TG (mmol/L)0.95 (0.53)1.53 (0.85)1.07 (0.46)1.40 (0.93)1.17 (0.69)1.12 (0.33)
LDL-c (mmol/L)2.65 (0.68)3.13 (0.66)2.71 (0.61)3.01 (0.64)2.89 (0.69)2.97 (0.63)
HDL-c (mmol/L)1.59 (0.30)1.43 (0.29)1.55 (0.26)1.49 (0.35)1.57 (0.31)1.52 (0.24)
Hypoglycemia drugs, n (%)14 (1.02)4 (7.02)5 (4.03)0 (0)6 (4.20)2 (1.21)
Antihypertensive drugs, n (%)46 (3.41)11 (20.00)4 (3.36)5 (10.00)0 (0)12 (7.55)
Lipid lowering drugs, n (%)15 (1.12)2 (3.77)2 (1.64)1 (2.00)2 (1.46)0 (0)
UA (μmol/L)257.33 (52.80)286.26 (62.94)258.56 (50.37)273.63 (57.91)269.64 (54.22)263.98 (52.24)

Data are mean (standard deviation) for continuous variables and number (%) of nonmissing observations for each binary variable. BMI = body mass index; FBS = fasting blood glucose; SBP = systolic blood pressure; DBP = diastolic blood pressure; TG = triglycerides; HDL-C = high-density lipoprotein cholesterol; UA = uric acid; MetS = metabolic syndrome. , univariate cox proportional hazards regression analyses with MetS or four MetS components. , univariate cox proportional hazards regression analyses with MetS or four MetS components.