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Table 7 Effects of quality-of-life-related factors among copper-nickel miners according to the results of multinomial logistic regression analyses

From: The status of job burnout and its influence on the working ability of copper-nickel miners in Xinjiang, China

Factor

Medium

Good

Exp(B)

S.E.

Wald

p-Value

OR(95%CI)

Exp(B)

S.E.

Wald

p-Value

OR(95%CI)

Education level

 Junior high school and below

–

–

–

–

1

–

–

–

–

1

 High school

−1.120

0.313

12.796

< 0.001

0.33(0.18,0.60)

0.013

0.220

0.004

0.952

1.01(0.66,1.56)

 Junior college

−1.943

0.325

35.800

< 0.001

0.14(0.08,0.27)

−0.624

0.215

8.417

0.004

0.54(0.35,0.82)

 bachelor’s degree or above

−2.597

0.679

14.622

< 0.001

0.07(0.02,0.28)

−0.228

0.285

0.642

0.423

0.80(0.46,1.39)

Professional title

 None

–

–

–

–

1

–

–

–

–

1

 Primary

−0.211

0.306

0.472

0.492

0.81(0.44,1.48)

0.593

0.175

11.479

0.001

1.81(1.28,2.55)

 Intermediate and above

−0.743

.397

3.504

0.061

0.48(0.22,1.04)

0.200

0.194

1.059

0.303

1.22(0.84,1.79)

 Work units

–

–

–

–

1

–

–

–

–

1

 Mining unit

−1.169

0.289

16.397

< 0.001

0.31(0.18,0.55)

0.347

0.154

5.057

0.025

1.42(1.05,1.92)

 Beneficiation unit

−1.383

0.319

18.762

< 0.001

0.25(0.13,0.47)

−0.324

0.185

3.049

0.081

0.72(0.50,1.04)

 Smelting unit

–

–

–

–

1

–

–

–

–

1

Job burnout

 Zero burnout

−23.906

< 0.001

–

–

< 0.001

−1.526

0.351

18.885

< 0.001

0.22(0.11,0.43)

 Mild burnout

−1.437

0.377

14.538

< 0.001

0.24(0.11,0.50)

−0.809

0.328

6.087

0.014

0.45(0.23,0.85)

 Moderate burnout

−1.501

0.368

16.642

< 0.001

0.22(0.11,0.46)

−0.460

0.322

2.032

0.154

0.63(0.34,1.19)

 High burnout

–

–

–

–

1

–

–

–

–

1