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Table 5 Multivariate nonconditional Logistic regression analysis of influencing factors in oil workers with metabolic syndrome

From: Development and internal validation of risk prediction model of metabolic syndrome in oil workers

Factors

B

S.E

Waldχ2

P

OR

95%CI

Age

0.088

0.012

55.251

0.000

1.092

1.067, 1.118

Per capita monthly household income(2000~)

−0.77

0.22

12.244

0.000

0.463

0.301, 0.713

Per capita monthly household income(3000~)

0.166

0.388

0.184

0.668

1.181

0.552, 2.525

BMI

0.273

0.026

114.091

0.000

1.313

1.249, 1.381

Family history of diabetes mellitus

0.373

0.183

4.129

0.042

1.452

1.013, 2.080

Salt(Moderate)

0.86

0.206

17.429

0.000

2.362

1.578, 3.536

Salt(Salty)

0.555

0.214

6.759

0.009

1.742

1.146, 2.648

Dairy intake(Occasionally)

0.676

0.216

9.771

0.002

1.966

1.287, 3.003

Dairy intake(Every day)

−1.149

0.261

19.317

0.000

0.317

0.190, 0.529

Carbonated beverage intake(Every day)

1.102

0.365

9.148

0.002

3.012

1.474, 6.153

Physical exercise

−0.398

0.152

6.86

0.009

0.672

0.499, 0.905

Smoking status(Smoking)

0.431

0.181

5.675

0.017

1.539

1.079, 2.194

Shift work situation(Once)

0.974

0.172

32.184

0.000

2.648

1.892, 3.707

Shift work situation(Now)

1.509

0.237

40.489

0.000

4.522

2.841, 7.198

Occupational heat

0.656

0.224

8.548

0.003

1.926

1.241, 2.989

UA

0.004

0.001

27.244

0.000

1.004

1.003, 1.006

ALT

0.029

0.005

40.946

0.000

1.030

1.020, 1.039