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Table 8 Final model of a multivariable logistic regression analysis predicting burnout among medical students and residents

From: Depression, anxiety, and burnout among medical students and residents of a medical school in Nepal: a cross-sectional study

Predictor

β

SE

P

OR (95% CI)

Intercept

−2.595

0.684

<  0.001

0.075 (0.019–0.277)

Year of study

–

–

–

–

 Med1 a

–

–

–

–

 Med2

−0.605

0.473

0.201

0.546 (0.211–1.362)

 Med3

−0.370

0.402

0.357

0.691 (0.312–1.515)

 Med4

−0.626

0.482

0.194

0.535 (0.204–1.359)

 Med5

0.138

0.450

0.758

1.149 (0.475–2.782)

 Med6

0.173

0.523

0.741

1.189 (0.423–3.312)

 PGY1

0.868

0.437

0.047

2.382 (1.021–5.690)

 PGY2

0.587

0.455

0.197

1.799 (0.741–4.438)

 PGY3

−0.027

0.439

0.952

0.974 (0.411–2.309)

Depression

–

–

–

–

 Absent a

–

–

–

–

 Present

0.709

0.243

0.004

2.031 (1.263–3.285)

Anxiety

–

–

–

–

 Absent a

–

–

–

–

 Present

0.864

0.232

< 0.001

2.374 (1.510–3.753)

Satisfied with career choice

–

–

–

–

 Dissatisfied a

–

–

–

–

 Satisfied

−0.499

0.262

0.057

0.607 (0.362–1.014)

Extracurricular involvement

–

–

–

–

 Always a

–

–

–

–

 Often

0.591

0.413

0.152

1.806 (0.817–4.145)

 Sometimes

0.449

0.401

0.263

1.567 (0.724–3.519)

 Rarely

0.996

0.446

0.025

2.709 (1.145–6.618)

 Never

2.324

1.165

0.046

10.215 (1.446–6.618)

ARS

–

–

–

–

 Absent a

–

–

–

–

 Present

0.760

0.394

0.054

2.137 (1.009–4.768)

IRS

–

–

–

–

 Absent a

–

–

–

–

 Present

0.412

0.245

0.092

1.511 (0.936–2.446)

DRS

–

–

–

–

 Absent a

–

–

–

–

 Present

0.723

0.236

0.002

2.061 (1.299–3.282)

Substance use

–

–

–

–

 Not using a

–

–

–

–

 Using

0.450

0.236

0.057

1.568 (0.989–2.502)

Test

χ2

df

P

 

 Hosmer and Lemeshow test

12.7

8

0.12

 

 Likelihood ratio test

145.9

19

< 0.001

 
  1. Note.aReferent for dummy coding. ARS, Academic Related Stressor; IRS, Interpersonal and intrapersonal Related stressor; DRS, Drive and Desire Related Stressor. Null deviance: 664.41 on 479 df, Residual deviance: 518.51 on 460 df, AIC: 558.51, AUC: 0.84