Background
Materials and methods
Study design and sample
Assessment
Burnout
Work-life balance
Statistical analyses
Results
Descriptive characteristics
Study population (N = 188) | |
---|---|
Age (Mean) | 50.4 (9.3) |
Gender (female) | 116 (61.7%) |
Marital Status | |
Married | 141 (75.0%) |
In a relationship | 27 (14.4%) |
Single | 20 (10.6%) |
Place of residence | |
Rural (<=5000) | 33 (17.6%) |
Small (<=20,000) | 56 (29.8%) |
Medium (<=100,000) | 43 (22.9%) |
Big (< 100,000) | 56 (29.8%) |
Working hours per week (including overtime) | 48.8 (9.0) |
Children in household (“yes”) | 96 (51.1%) |
Burnouta | |
None | 104 (55.3%) |
Some symptoms | 78 (41.5%) |
Burnout | 6 (3.2%) |
Work-Life Balance | 3.8 (1.3) |
Motivation to stay in profession | 6.0 (1.4) |
Prediction of burnout and motivation to stay in the profession
Emotional Exhaustion | Cynicism | Professional Efficacy | Burnout (total)a | Motivation to stay in the profession | |
---|---|---|---|---|---|
Constant | 5.30 | 3.01 | 4.73 | 3.40 | 3.51 |
Gender | 0.01 | −0.24 | 0.21* | − 0.13 | 0.22 |
Residence (vs. “> 100,000 inhabitants”) | |||||
Rural (<=5000) | 0.08 | −0.49* | −0.23 | − 0.05 | 0.50 |
Small and medium (<=100,000) | 0.08 | −0.20 | −0.00 | − 0.03 | 0.33 |
Children in the household (1 = yes) | −0.55*** | −0.14 | 0.12 | −0.30** | 0.28 |
Work-Life Balance | −0.73*** | −0.36*** | 0.13** | −0.44*** | 0.51*** |
R2 | .48 | .17 | .08 | .42 | .23 |