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Table 6 Final model of a multivariable logistic regression analysis predicting depression 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

−1.690

0.240

< 0.001

0.18 (0.114–0.291)

Anxiety

–

–

–

–

 Absent a

–

–

–

–

 Present

1.412

0.232

< 0.001

4.129 (2.639–6.574)

Personal burnout

–

–

–

–

 Absent a

–

–

–

–

 Present

0.534

0.258

0.04

1.706 (1.026–2.831)

Work-related burnout

–

–

–

–

 Absent a

–

–

–

–

 Present

0.576

0.267

0.03

1.780 (1.054–3.009)

Satisfied with academic performance

–

–

–

–

 Dissatisfied a

–

–

–

–

 Satisfied

−0.666

0.224

0.003

0.514 (0.330–0.796)

Test

χ2

df

P

 

 Hosmer and Lemeshow test

4.09

8

0.85

 

 Likelihood ratio test

4

97.68

< 0.001

 
  1. Note.areferent for dummy coding. The coefficient (β) in the model indicates the direction (positive or negative) and the significance of the relationship to the outcome variable (depression). Null deviance: 612.43 on 479 degrees of freedom (df), Residual deviance: 514.75 on 475 df, AIC (Akaike Information Criterion): 524.75, AUC (Area Under Receiver Operating Characteristic Curve): 0.71