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Table 4 Stepwise multivariable adjusted relationships of clinical and metabolic covariates with serum 25(OH)D

From: Serum 25(OH)D is inversely associated with metabolic syndrome risk profile among urban middle-aged Chinese population

 

Coefficient(SE)*

Beta

P

All (N = 601)

   

Age

−0.24(0.05)

−0.164

<0.0001

Sex

−6.77(0.88)

−0.286

<0.0001

BMI

−0.56(0.16)

−0.160

0.0004

Waist circumference

−0.22(0.07)

−0.209

0.0015

Fasting plasma glucose

−4.63(0.61)

−0.239

<0.0001

Fasting insulin

−0.17(0.04)

−0.164

<0.0001

Triglycerides

−1.46(0.26)

−0.193

<0.0001

HDL cholesterol

4.50(1.27)

0.121

0.0004

LDL cholesterol

−1.20(0.41)

−0.089

0.0034

Men (N = 448)

Age

−0.30(0.06)

−0.197

<0.0001

BMI

−0.59(0.18)

−0.164

0.001

Waist circumference

−0.28(0.075)

−0.233

<0.0001

Fasting plasma glucose

−3.87(0.71)

−0.16

<0.0001

Fasting insulin

−0.16(0.04)

−0.154

0.001

Triglycerides

−1.23(0.34)

−0.177

<0.0001

HDL cholesterol

4.28(1.61)

0.110

0.008

Women (N = 153)

Fasting plasma glucose

−7.42(1.28)

−0.382

<0.0001

Fasting insulin

−0.21(0.09)

−0.188

0.025

Triglycerides

−3.38(1.35)

−0.228

0.014

  1. *Coefficients represent change in 25(OH)D (ng/ml) for an increase in the value of the predictor variables shown (1-SD increase for continuous predictor variables). The stepwise multivariable model was adjusted for the following variables: age, sex, BMI, waist circumference, fasting glucose, fasting insulin, triglycerides, HDL cholesterol, and LDL cholesterol. R2 for the regression model was 0.479, 0.472 and 0.564 for the whole population, men and women groups respectively.