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Table 2 Multiple linear regression analysis of the relationship between MS components and eGFR

From: Metabolic syndrome is independently associated with a mildly reduced estimated glomerular filtration rate: a cross-sectional study

Models Independent variable

Unadjusted

Multivariable adjusteda

b Coefficient (95% CI)

P-value

b Coefficient (95% CI)

P-value

1 MS Model

 MS Y/N

-2.494 (−3.364 to −1.624)

<0.001

−1.329 (−2.098 to −0.520)

0.002

2 MS components Model

 SBP, per mmHg

0.003 (−0.013 to 0.019)

0.753

0.008 (−0.00 7to 0.022)

0.246

 DBP, per mmHg

−0.008 (−0.028 to 0.012)

0.420

−0.012 (−0.029 to 0.005)

0.158

 TG, per mmol/L

−1.082 (−1.414 to −0.750)

<0.001

−1.225 (−1.518 to −0.931)

<0.001

 HDL, per mmol/L

0.360 (−0.444 to 1.165)

0.380

0.418 (−0.294 to 1.130)

0.250

 Waist circumference, per cm

−0.310 (−0.369 to −0.252)

<0.001

−0.075 (−0.126 to −0.024)

0.004

 BMI, per kg/m2

0.293 (0.128–0.458)

0.001

−0.043 (−0.195 to 0.109)

0.580

 FPG, per mg/dL

0.443 (0.173–1.714)

0.001

0.740 (0.500–0.980)

0.024

3 MS components + HbA1C Model

 HbA1c, per % unit

0.978 (0.593–1.363)

<0.001

1.254 (0.850–1.657)

<0.001

  1. CI confidence interval, MS Metabolic syndrome, BMI body mass index, SBP systolic blood pressure, DBP diastolic blood pressure, HDL high density lipoprotein, FPG fasting plasma glucose, TG Triglycerides, e-GFR estimated glomerular filtration rate. HbA1c Glycosylated hemoglobin A1c; aAdjusting for age and gender, current smoking, history of hypertension, drinking, use of ACE inhibitors or ARB, control of diabetes and hypertension