Table 5.
Coefficients of multiple linear regression of deep acting, hair cortisol content, and their interaction against Copenhagen job burnout (n = 229).
| Independent variable | Personal burnout | Work-related burnout | Client-related burnout | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Predictive variable | ΔR2 | β | B | SE | ΔR2 | β | B | SE | ΔR2 | β | B | SE | |
| Step 1 | Demographic variablesa | ||||||||||||
| Step 2 | Deep acting | 0.045∗∗ | -0.217∗∗ | -7.313 | 2.123 | 0.051∗∗ | -0.230∗∗ | -7.530 | 2.082 | 0.083∗∗ | -0.295∗∗ | -8.959 | 1.860 |
| Step 3 | HCCb | 0.012 | -0.112 | -6.988 | 3.904 | 0.000 | -0.009 | -0.562 | 3.855 | 0.000 | 0.001 | -0.060 | 3.445 |
| Step 4 | DA×HCCc | 0.024∗ | -0.155∗ | -14.564 | 5.727 | 0.011 | -0.107 | -9.733 | 5.700 | 0.001 | -0.030 | -2.537 | 5.125 |
Notes: ∗p < 0.05, ∗∗p < 0.01, and ∗∗∗p < 0.001. aDemographic variables showed the same results as Table 3. bHCC referred to hair cortisol content. cDA×HCC referred to the interaction between deep acting and hair cortisol content.