Research Article

Burnout in Medical Residents: A Study Based on the Job Demands-Resources Model

Table 4

Logistic regression of residents’ burnout on demographic and work-related variables, as well as job demands and job resources.

VariableSEWaldOR (95% CI)

Male gender 0.3640.5420.4510.5021.439 (0.497–4.163)
Age (per year)−0.0630.0860.5270.4680.939 (0.793–1.113)
Type of specialty2.1590.340
 Surgical0.2240.6280.1270.7221.251 (0.365–4.285)
 Lab/other−1.0840.9261.3720.2410.338 (0.055–2.075)
Noncompliance with the EWTD−0.2880.6630.1890.6641.334 (0.364–4.889)
Residents/specialist ratio (per extra resident)−0.8910.4034.881 0.027*0.410 (0.186–0.904)
Supervisor’s support−0.0680.0571.4230.2330.934 (0.836–1.045)
Workload−0.0090.1230.0060.9390.991 (0.779–1.260)
Intellectual demands0.2940.1932.3100.1291.342 (0.918–1.960)
Emotional demands0.0720.0641.2620.2611.075 (0.948–1.218)
Work-home demands interface0.2270.1044.7710.029*1.255 (1.024–1.539)
Autonomy−0.4630.1549.092 0.003**0.629 (0.466–0.850)
Opportunities for professional development−0.5000.15310.7540.001**0.606 (0.450–0.818)

CI, confidence interval ; .