Skip to main content
. 2018 Jun 15;68(6):405–411. doi: 10.1093/occmed/kqy088

Table 2.

Test of fit of linear, quadratic and cubic associations between age and burnout (Salveo Study)

Total (n = 2073) Men (n = 1065) Women (n = 1008) Gender interaction
Δχ2 df P value Δχ2 df P value Δχ2 df P value Δχ2 df P value
Exhaustion
 Linear 50.74 1 <0.001 22.85 1 <0.001 30.26 1 <0.001 2.73 1 NS
 Quadratic 0.00 1 NS 0.20 1 NS 0.20 1 NS 1.08 1 NS
 Cubic 8.27 1 <0.01 3.01 1 NS 6.29 1 <0.05 9.23 1 <0.01
Cynicism
 Linear 69.92 1 <0.001 25.25 1 <0.001 42.70 1 <0.001 0.37 1 NS
 Quadratic 0.18 1 NS 1.08 1 NS 1.26 1 NS 2.88 1 NS
 Cubic 1.32 1 NS 0.02 1 NS 6.14 1 <0.05 5.24 1 <0.05
Professional efficacy (reverse-coded)
 Linear 56.25 1 <0.001 28.32 1 <0.001 29.99 1 <0.001 3.94 1 <0.05
 Quadratic 0.97 1 NS 0.09 1 NS 2.70 1 NS 2.32 1 NS
 Cubic 0.25 1 NS 0.14 1 NS 3.27 1 NS 2.94 1 NS
Total burnout
 Linear 63.19 1 <0.001 32.81 1 <0.001 30.72 1 <0.001 2.96 1 NS
 Quadratic 0.06 1 NS 0.01 1 NS 0.80 1 NS 0.54 1 NS
 Cubic 4.21 1 <0.05 0.41 1 NS 7.83 1 <0.01 8.12 1 <0.01

Adjusted for marital status, parental status, education level and number of working hours. Δχ2, difference in chi-square; df, degrees of freedom; NS, non-significant.