Table 3 Regression with log (hs-CRP) and with binary hs-CRP (hs-CRP < 3 vs hs-CRP > 3) response variable.

From: Predicting high sensitivity C-reactive protein levels and their associations in a large population using decision tree and linear regression

A: Linear regression with log (hs-CRP)

 

Model A

N = 9704

Model B (Male)

N = 3885

Model C (Female)

N = 5819

Variables

Exp* (β (CI 95%))

P value

Exp (β (CI 95%))

P value

Exp (β (CI 95%))

P value

CVD

1.127 (0.978,1.298)

0.097

1.003 (0.830,1.211)

0.973

1.357 (1.099,1.677)

0.005

HTN

1.049 (0.981,1.122)

0.161

1.028 (0.930,1.137)

0.583

1.078 (0.985,1.179)

0.100

SBP

1.002 (1.001,1.004)

0.001

1.001 (0.999,1.004)

0.191

1.002 (1.000,1.004)

0.009

Anxiety Score

1.005 (1.003,1.008)

0.000

1.006 (1.002,1.010)

0.004

1.005 (1.002,1.008)

0.001

Depression Score

1.003 (1.000,1.006)

0.007

1.009 (1.005,1.013)

0.000

1.000 (0.997,1.003)

0.817

FBG (mg/dL)

1.003 (1.002,1.003)

0.000

1.002 (1.001,1.003)

0.000

1.003 (1.003,1.004)

0.000

B: Logistic regression with binary hs-CRP (hs-CRP < 3 vs hs-CRP > 3)

 

Model A

N = 9704

Model B (Male)

N = 3885

Model C (Female)

N = 5819

Variables

OR (CI 95%)

P value

OR (CI 95%)

P value

OR (CI 95%)

P value

CVD

1.289 (0.953,1.743)

0.100

1.257 (0.826,1.912)

0.286

1.419(0.911,2.208)

0.122

HTN

1.029 (0.886,1.195)

0.710

1.102 (0.867,1.402)

0.428

1.004(0.828,1.218)

0.966

SBP

1.006 (1.002,1.010)

0.001

1.004 (0.997,1.010)

0.243

1.007(1.002,1.011)

0.003

Anxiety Score

1.009 (1.004,1.015)

0.001

1.012 (1.002,1.022)

0.020

1.009(1.002,1.015)

0.011

Depression Score

1.007 (1.001,1.012)

0.020

1.024 (1.014,1.034)

0.000

0.998(0.991,1.005)

0.609

FBG (mg/dL)

1.006 (1.005,1.007)

0.000

1.004 (1.002,1.006)

0.000

1.007(1.006,1.008)

0.000

  1. The models adjusted for Sex, Age, PAL, LDL, HDL, TG, History of CVD and T2DM as confounding factors. *Exponential. Abbreviations: CVD cardiovascular disease, HTN hypertension, SBP systolic blood pressure, FBG fasting blood glucose.
Back to article page