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Table 2 Logistic regression analysis for factors associated with the JDC model occupational stress among employees

From: Analysis of occupational stress and its correlation with oxidative-antioxidant levels among employees of a power grid enterprise in Guangdong

Variables

Beta

S.E

Wald

P value

OR(95%CI)

Monthly income/yuan

  

10.026

0.018

 

 <5000

reference

    

 5000~

0.416

0.263

2.499

0.114

1.516 (0.905,2.540)

 7000~

0.617

0.269

5.239

0.022

1.853 (1.093.3.142)

 9000~

1.109

0.375

8.740

0.003

3.031 (1.453.6.321)

High-temperature and high-altitude operation

 No

reference

    

 yes

0.774

0.192

16.277

< 0.001

2.168 (1.489,3.158)

Visual display terminal operation

 No

reference

    

 yes

0.596

0.197

9.185

0.002

1.815 (1.234,2.669)

Exercise

 No

reference

    

 yes

−0.526

0.217

5.854

0.016

0.591 (0.386,0.905)

Sleeping time/h

  

4.651

0.098

 

  <  6

reference

    

 6~

0.145

0.215

0.452

0.501

1.156 (0.758,1.763)

 7~

−0.358

0.255

1.975

0.160

0.699 (0.424,1.152)

  1. Dependent variable assignment: JDC model occupational stress: low = 0, high = 1; independent variable assignment: high-temperature and high-altitude operation, visual display terminal operation, exercise: no = 0, yes = 1; Monthly income (dummy variable): < 5000 yuan = 1 (reference), 5000 ~ yuan = 2, 7000 ~ yuan = 3, 9000 ~ yuan = 4; Sleep time (dummy variable): < 6 hours = 1 (reference), 6 ~ hours = 2, 7 ~ hours = 3