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 m2)
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.