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. 2016 Mar 1;11(3):e0150429. doi: 10.1371/journal.pone.0150429

Table 4. Summary of hierarchical regression analysis for variables predicting prolonged fatigue.

Model 1 Model 2 Model 3
Variables Β SE β p Β SE β p Β SE β p
(constant) 38.39 1.01 <.001 18.41 0.97 <.001 17.57 1.82 <.001
Gender (man)a 0.50 0.39 0.02 .200 0.77 0.28 0.04 .006 0.68 0.28 0.03 .016
Age -0.28 0.02 -0.30 <.001 -0.18 0.01 -0.19 <.001 -0.17 0.01 -0.18 <.001
Occupation (white-collar)b 0.72 0.55 0.04 .187 -0.22 0.40 -0.01 .575 -0.51 0.40 -0.03 .196
Occupation (blue-collar)b 2.18 0.58 0.12 <.001 -0.07 0.42 -0.00 .863 -0.62 0.43 -0.03 .145
Perceived physical health -2.58 0.20 -0.22 <.001 -2.49 0.20 -0.21 <.001
Regular exercise 0.39 0.26 0.02 .124 0.39 0.25 0.02 .119
Perceived mental health -1.87 0.21 -0.16 <.001 -1.60 0.21 -0.14 <.001
Psychological distress 0.68 0.03 0.42 <.001 0.61 0.03 0.38 <.001
Job demand 0.28 0.03 0.14 <.001
Job control -0.11 0.02 -0.11 <.001
Workplace social support 0.03 0.04 0.01 .533
Full model, F 82.07 *** 449.95 *** 351.70 ***
Full model, Adjusted R2 0.096 0.545 0.570

a woman as a reference;

b management as a reference;

***p <.001.