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Table 7 Multivariate logistics regression analysis of risk factors for NAFLD in steel workers

From: Analysis of factors affecting nonalcoholic fatty liver disease in Chinese steel workers and risk assessment studies

Variable

B

S.E

Wald

df

Sig

Exp(B)

95% C.I. for Exp (B)

       

Lower

Upper

Age (Year)

  < 30

  

3.420

3

0.331

   

 30 ~ 

0.342

0.224

2.329

1

0.127

1.408

0.907

2.185

 40 ~ 

0.234

0.221

1.122

1

0.289

1.263

0.820

1.946

 50 ~ 

0.166

0.228

0.533

1

0.465

1.181

0.755

1.847

Sex

-0.397

0.165

5.814

1

0.016

0.672

0.487

0.928

BMI (kg/m2)

  < 24

  

447.232

2

 < 0.001

   

 24 ~ 

1.604

0.113

200.331

1

 < 0.001

4.971

3.981

6.207

 28 ~ 

2.827

0.134

445.832

1

 < 0.001

16.887

12.99

21.953

Hypertension

0.210

0.127

2.732

1

0.098

1.233

0.962

1.581

Coronary heart disease

0.332

0.368

0.813

1

0.367

1.393

0.677

2.867

Diabetes

0.368

0.212

3.026

1

0.082

1.445

0.954

2.187

Hyperuricemia

0.753

0.093

65.489

1

 < 0.001

2.124

1.770

2.548

Dyslipidemia

0.839

0.179

21.985

1

 < 0.001

2.315

1.630

3.288

Smoking status

 Never smoking

  

1.821

2

0.402

   

 Quit smoking

-0.130

0.207

0.394

1

0.530

0.878

0.585

1.318

 Smoking

0.095

0.094

1.024

1

0.312

1.100

0.915

1.323

DASH score

-0.058

0.090

0.415

1

0.520

0.943

0.790

1.126

Shift work

 Never shift

  

3.151

2

0.207

   

 Once shift

0.021

0.153

0.018

1

0.892

1.021

0.757

1.377

 Now shift

0.177

0.123

2.062

1

0.151

1.194

0.937

1.520

Occupation high temperature

-0.140

0.096

2.140

1

0.144

0.869

0.720

1.049

Occupational dust

0.226

0.108

4.355

1

0.037

1.254

1.014

1.551

ALT

1.289

0.150

73.914

1

 < 0.001

3.629

2.705

4.869

AST

-0.198

0.343

0.333

1

0.564

0.820

0.419

1.607

GGT

0.272

0.145

3.527

1

0.060

1.312

0.988

1.743

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Lipids in Health and Disease

ISSN: 1476-511X