Table 4 Logistic regression for predictors of occupational burnout

Gender

Male

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Female

0.770

0.683–0.867

< 0.001

1.177

0.746–1.856

0.484

Age

20–30

0.626

0.447–0.876

0.006

0.804

0.340–1.901

0.619

31–40

0.768

0.545–1.083

0.133

0.685

0.322–1.457

0.326

41–50

0.833

0.577–1.204

0.331

1.245

0.600–2.585

0.556

> 50

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Marital status

Single

1.096

0.795–1.510

0.576

1.007

0.307–3.309

0.991

Married

1.219

0.887–1.676

0.223

1.158

0.373–3.590

0.800

Divorced/widowed

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Having children

Yes

1.215

1.090–1.355

< 0.001

1.250

0.686–2.279

0.466

No

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Level of education

Undergraduate

1.533

1.148–2.047

0.004

0.316

0.016–6.189

0.448

Bachelor’s degree

1.105

0.937–1.304

0.234

1.088

0.330–3.591

0.889

Master’s and Ph.D. degree

1.877

0.900–1.304

0.093

1.469

0.263–8.195

0.661

General & special professional doctorate

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Occupation

Clinician

1.321

0.775–2.252

0.306

0.756

0.373–1.530

0.437

Nurse

2.209

0.632–7.716

0.214

1.745

0.456–6.684

0.416

Other

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Working hours with COVID-19 patients

< 4

1.982

1.718–2.285

< 0.001

1.163

0.592–2.284

0.661

4–8

1.196

1.043–1.372

0.011

0.793

0.416–1.510

0.480

> 8

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Working in isolated wards

Yes

0.743

0.670–0.823

< 0.001

0.988

0.596–1.638

0.962

No

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History of physical illness

Yes

0.653

0.577–0.738

< 0.001

0.440

0.270–0.718

0.001

No

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History of psychiatric disorder

Yes

0.621

0.523–0.737

< 0.001

0.537

0.293–0.985

0.044

No

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