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Table 3 Hierarchical linear regression analyses of the factors associated with MBI-GS scores

From: Associations between occupational stress, burnout and well-being among manufacturing workers: mediating roles of psychological capital and self-esteem

variables

EE

CY

PE

WE

Step1

Step2

Step3

Step1

Step2

Step3

Step1

Step2

Step3

Step1

Step2

Step3

Age

0.041

0.015

0.008

0.002

−0.014

−0.036

0.038

0.04

0.088

−0.115

−0.099

−0.047

Gender

0.003

0.018

0.016

−0.042

−0.03

−0.026

0.01

0.007

−0.011

0.048

0.04

0.026

Education_1

−0.012

−0.022

−0.023

0.013

−0.001

0.002

0.082*

0.088*

0.075*

0.003

0.005

−0.005

Education_2

−0.081

−0.047

−0.034

−0.094*

−0.056

−0.023

0.152**

0.138**

0.075*

0.075

0.062

−0.013

Income

−0.063

−0.061**

−0.041

−0.066*

−0.061**

−0.024

0.06*

0.058*

0.003

0.101**

0.100**

0.024

working hours

0.264**

0.089**

0.096**

0.159**

0.001

0.012

−0.015

0.031

0.017

−0.081**

0.004

−0.017

Working years

−0.189**

−0.105

−0.106*

−0.131

−0.052

−0.048

−0.043

−0.066

−0.082

0.114

0.075

0.063

ERR

 

0.456**

0.407**

 

0.553**

0.47**

 

−0.211**

−0.109**

 

−0.159**

0.001

Overcommitment

 

0.258**

0.235**

 

0.103**

0.048

 

0.02

0.117**

 

−0.18**

−0.062*

PsyCap

  

−0.193**

  

−0.268**

  

0.219**

  

0.466**

Self-esteem

  

0.033

  

−0.055*

  

0.286**

  

0.208**

F

19.012**

110.79**

99.953**

10.297**

88.214**

98.594**

3.305**

8.113**

32.336**

4.930**

15.806**

78.308**

R2

0.099

0.451

0.477

0.056

0.396

0.473

0.019

0.057

0.228

0.028

0.105

0.416

R2-change

0.099

0.352

0.026

0.056

0.340

0.077

0.019

0.038

0.171

0.028

0.078

0.311

  1. Education_1 means “Junior college” vs. “Technical secondary school and the following”, Education_2 means “Bachelor degree or above” vs. “Technical secondary school and the following”; *P < 0.05; **P < 0.01(two-tailed)