Table 3

Hierarchical multiple regression results of fatigue

VariablesStep1Step2Step3
βVIFβVIFβVIF
Age (years)0.0592.7760.0642.7790.0272.801
Marital status0.0271.2250.021.2270.021.228
Education10.131**1.9520.121**1.9530.105**1.966
Education20.102*2.0440.099*2.0440.092*2.046
Income10.0732.2080.0592.2280.0382.242
Income20.0122.850.0122.87−0.0012.881
Income30.0513.0120.0633.0310.0583.039
Workplace10.077*1.2730.087**1.2780.067*1.302
Workplace20.111**1.4390.093**1.4440.085*1.453
Weekly work time (hours)0.065*1.0370.0531.0430.0241.087
Occupational allowance0.0621.227−0.0391.236−0.031.238
Fighting the COVID-19 on the front line0.091**1.0490.076*1.0590.059*1.073
Postcompetency−0.151**1.0630.0091.474
Respect1−0.171**1.502−0.129**1.538
Respect2−0.182**1.514−0.129**1.55
ERR0.166**1.143
Resilience−0.104*3.326
Self-efficacy−0.22**3.263
F6.268**9.789**15.393**
Adjusted R20.0580.1150.203
ΔR20.070.0580.089
  • Marital status, married/cohabiting vs unmarried/ divorced/separated/widowed; education1, bachelor vs junior college or lower; education2, master or higher vs junior college or lower; income1, ¥3001–¥4000 vs ≤¥3000; income2, ¥4001–¥5000 vs ≤¥3000; income3, >¥5000 vs ≤¥3000; ¥1=US$0.146 (9 July 2020); workplace1, county vs district; workplace2, city vs district; weekly work time (hours), >40 hours/week vs ≤40 hours/week; occupational allowance, yes vs no; working on front line to defeat the COVID-19, yes vs no; respect1, general vs low; respect2, high vs low.

  • *P<0.05, **p<0.01.

  • ERR, effort–reward ratio; VIF, variance inflation factor.