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Table 3 Multivariate logistic regression the association of independent variables with coronary artery disease

From: Modeling the diagnosis of coronary artery disease by discriminant analysis and logistic regression: a cross-sectional study

Parameters

Coefficient (β)

S.E(β)

OR CI (0.95%)

P value

Intercept

− 6.21

1.23

0.002

< 0.001

Gender

    

 Female

Ref

–

  

 Male

1.39

0.21

4.01 (2.67–6.01)

< 0.001

Family history of heart disease

    

 No

Ref

–

  

 Yes

0.66

0.24

1.93 (1.20–3.09)

0.006

Illicit drug abuse

    

 No

Ref

–

  

 Yes

0.78

0.33

2.17 (1.14–4.13)

0.019

Age

0.08

0.01

1.08 (1.06–1.10)

< 0.001

BMI

− 0.05

0.02

0.95 (0.91–0.99)

0.016

FBS

0.007

0.002

1.007 (1.003–1.011)

< 0.001

HDL

− 0.035

0.012

0.96 (0.94–0.99)

0.004

LDL

0.013

0.003

1.013 (1.007–1.019)

< 0.001

Systolic blood pressure

0.018

0.006

1.018 (1.007–1.03)

0.001