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. 2022 Jan 26;19(3):1385. doi: 10.3390/ijerph19031385

Table 3.

Multiple linear regression models for the Maslach Burnout Inventory (MBI-GS) and its domains.

Predictors β SE t p VIF
Global burnout
Lifelong learning −0.74 0.17 −4.43 <0.001 1.00
Family loneliness +0.77 0.20 +3.87 <0.001 1.00
Exhaustion domain
Cynicism +0.41 0.07 +5.49 <0.001 1.01
Country of birth (different than Croatia) −2.72 1.37 −1.99 0.04 1.41
Living with parents (yes) +2.92 1.18 +2.48 0.01 1.35
Academic year −0.66 0.29 −2.27 0.02 1.08
Cynicism domain
Exhaustion +0.34 0.07 +5.22 <0.001 1.04
Empathy −0.10 0.03 −3.16 0.002 1.02
Lifelong learning −0.17 0.07 −2.36 0.02 1.05
Academic year +0.51 0.26 +1.98 0.04 1.03
Professional efficacy
Lifelong learning +0.28 0.07 +3.74 <0.001 1.06
Family loneliness −0.35 0.09 −3.89 <0.001 1.08
Speciality (Primary care) −3.35 1.38 −2.43 0.02 1.03
Cynicism −0.16 0.07 −2.22 0.03 1.11

β, beta coefficient; SE, standard error; t, t experimental; p, p-value; VIF, variance inflation factor.