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. 2020 Oct 23;17(21):7771. doi: 10.3390/ijerph17217771

Table 8.

Hierarchical regression analyses with subjective physiological health problems and work satisfaction as outcome variables.

Predictor Variables Subjective Physiological Health Problems Work Satisfaction
Step 1 Step 2 Step 3 Step 4 Step 1 Step 2 Step 3 Step 4
Demographic variables
Long work week 0.10 −0.04 −0.07 −0.07 0.06 0.04
Atypical working time 0.11 −0.01 −0.14 * −0.19 ** −0.06 0.03
Training opportunities 0.02 0.02 0.09 *** 0.06 **
Career advancement −0.04 0.00 0.12 *** 0.05 *
Job security −0.11 *** −0.06 * 0.17 *** 0.11 ***
Employability −0.09 *** −0.09 *** 0.03 0.01
Work life conflict 0.32 *** 0.20 *** −0.31 *** −0.14 ***
Income satisfaction −0.13 *** −0.08 ** 0.25 *** 0.17 ***
Participation −0.04 0.14 ***
Feedback −0.02 0.06 *
Autonomy 0.04 0.05 *
Mental demands 0.04 0.01
Time pressure 0.03 −0.07 **
Emotional demands 0.08 ** −0.09 ***
Social support −0.08 ** 0.18 ***
Competition 0.02 −0.04 *
Mobbing 0.09 *** −0.17 ***
Physical burden 0.23 *** −0.04
Risk of accident 0.00 −0.03
F 12.662 *** 10.151 *** 30.844 *** 25.817 *** 6.601 *** 6.306 *** 61.073 *** 66.431 ***
ΔF 2.732 55.662 *** 15.363 *** 5.348 ** 130.299 *** 46.934 ***
R 2 0.05 0.05 0.22 0.30 0.03 0.03 0.36 0.53
ΔR2 0.00 0.17 0.08 0.01 0.33 0.17

* p < 0.05, ** p < 0.01, *** p < 0.001; standardized regression coefficients, the block demographic variables contains gender, age, nationality, residence, education, work sector; F represents the test against the null model (all coefficients equal zero), ΔF represents the test against the regression model of the previous step.