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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