Association of Microalbuminuria with Metabolic Syndrome among Aged Population

Table 2

Characteristics among participants according to the number of metabolic syndrome components.

NMS (134)

MS1 (158)

MS2 (183)

MetS (199)

(%)

Mean (SE)

95% CI

(%)

Mean (SE)

95% CI

(%)

Mean (SE)

95% CI

(%)

Mean (SE)

95% CI

Age

63.2 ± 6.7

63.8 ± 5.6

66.2 ± 6.6

67.9 ± 8.2

<0.0001

BMI

22.2 ± 0.2

23.9 ± 0.2

25.1 ± 0.2

27.4 ± 0.2

<0.0001

SBP (mmHg)

121.8 ± 1.3

127.2 ± 1.3

140.7 ± 1.4

144.9 ± 1.3

<0.0001

DBP (mmHg)

67.0 ± 0.8

69.6 ± 0.9

73.7 ± 0.8

75.2 ± 0.9

<0.0001

FPG (mmol/L)

5.24

5.16, 5.31

5.58

5.40, 5.75

6.3

5.99, 6.61

7.21

6.86, 7.55

<0.0001

TC (mmol/L)

5.40 ± 0.06

6.00 ± 0.10

5.96 ± 0.09

5.98 ± 0.08

<0.0001

TG (mmol/L)

1.07

0.99, 1.14

1.43

1.30, 1.55

1.59

1.45, 1.72

1.62

1.53, 1.72

<0.0001

HDL-C (mmol/L)

1.52

1.45, 1.58

1.44

1.39, 1.50

1.35

1.30, 1.41

1.27

1.22, 1.31

<0.0001

LDL-C (mmol/L)

2.28 ± 0.04

3.31 ± 0.06

3.32 ± 0.06

3.48 ± 0.06

<0.0001

UACR (mg/mmoL)

2.89

2.37, 3.41

3.13

2.59, 3.67

3.02

2.55, 3.49

5.36

4.36, 6.37

<0.0001

eGFR (mL/min/1.73 m^2)

100.0 ± 1.5

99.8 ± 2.0

95.6 ± 1.3

92.0 ± 1.3

<0.0001

Data were means ± SD or medians (interquartile range) for skewed variables or proportions for categorical variables. was calculated from CMH chi-square tests for categorical variables and linear regression analysis for continuous variables.
MetS: metabolic syndrome; SBP: systolic blood pressure; DBP: diastolic blood pressure; BMI: body mass index; FPG: fasting plasma glucose; TG: triglyceride; TC: total cholesterol; HDL-C: high-density lipoprotein cholesterol; LDL-C: low-density lipoprotein cholesterol; UACR: urinary albumin-creatinine ratio; eGFR: estimated glomerular filtration rate.