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Table 3 Logistic regression analysis of influencing factors of MetS

From: Construction of Xinjiang metabolic syndrome risk prediction model based on interpretable models

Variable

Coefficients

Std Error

Wald

OR

95% CI

P value

Intercept

-12.744

0.437

-29.152

-

-

-

Age (reference: 18 ~ 44)

  45 ~ 59

0.139

0.098

1.418

1.149

0.948 ~ 1.391

0.156

  60 ~ 74

0.328

0.141

2.320

1.388

1.052 ~ 1.833

0.020

  75 ~ 89

-0.117

0.274

-0.427

0.890

0.522 ~ 1.531

0.669

Previous diabetes (reference: No)

  Yes

2.186

0.178

12.281

8.902

6.333 ~ 12.739

<0.001

Previous hypertension (reference: No)

  Yes

1.040

0.121

8.619

2.830

2.238 ~ 3.593

<0.001

Fatty liver (reference: No)

  Yes

1.196

0.085

14.053

3.306

2.800 ~ 3.908

<0.001

Smoking (reference: No)

  Quit

0.325

0.169

1.925

1.384

0.996 ~ 1.930

0.054

  Yes

0.432

0.091

4.731

1.541

1.288 ~ 1.844

<0.001

Exercise (reference: Hardly)

  Run and others

-0.306

0.125

-2.451

0.736

0.576 ~ 0.940

0.014

  Walk

-0.262

0.096

-2.734

0.769

0.637 ~ 0.928

0.006

SBP

0.044

0.004

11.605

1.044

1.037 ~ 1.052

<0.001

DBP

0.070

0.006

11.497

1.072

1.060 ~ 1.085

<0.001