Table 2 Logistic regression analysis for underlying factors associated with medical study in the students’ dataset

 Male

9933

Ref

Ref

Ref

Ref

 Female

11,152

0.260

0.030

1.30 (1.22–1.38)

< 0.0001

< 0.0001

0.254

0.03

1.29 (1.22–1.37)

< 0.0001

< 0.0001

 Below high school

7558

Ref

Ref

Ref

Ref

 High school

5934

−0.030

0.040

0.97 (0.90–1.05)

0.450

− 0.013

0.04

0.99 (0.91–1.07)

0.757

 Diploma or above

7593

−0.090

0.040

0.91 (0.85–0.98)

0.0096

0.021

−0.100

0.05

0.90 (0.82–1.00)

0.042

0.107

 Below high school

9102

Ref

Ref

Ref

Ref

 High school

4933

−0.060

0.040

0.94 (0.88–1.02)

0.138

−0.034

0.04

0.97 (0.89–1.05)

0.444

 Diploma or above

7050

−0.080

0.030

0.93 (0.86–0.99)

0.027

0.050

−0.055

0.05

0.95 (0.86–1.04)

0.270

 Hubei

809

Ref

Ref

Ref

Ref

 Outside of Hubei

20,276

0.500

0.090

1.65 (1.39–1.96)

< 0.0001

< 0.0001

0.270

0.09

1.31 (1.10–1.56)

< 0.0001

< 0.0001

 First year

7032

Ref

Ref

Ref

Ref

 Second year

6698

0.193

0.040

0.82 (0.77–0.89)

< 0.0001

< 0.0001

−0.199

0.10

0.82 (0.67–1.00)

< 0.0001

< 0.0001

 Graduate year

6984

0.012

0.040

1.01 (0.94–1.09)

0.745

−0.004

0.04

1.00 (0.92–1.08)

0.919

 Resit of graduate year

371

0.396

0.110

1.49 (1.20–1.84)

0.0003

< 0.0001

0.349

0.04

1.42 (1.31–1.53)

0.002

0.004

 Top tier

4698

Ref

Ref

Ref

Ref

 Second tier

4679

0.017

0.037

1.02 (0.95–1.09)

0.644

0.025

0.039

1.03 (0.95–1.11)

0.514

 Third tier and others

1708

0.030

0.056

0.97 (0.87–1.08)

0.590

0.009

0.059

1.00 (0.90–1.13)

0.876

 No

20,757

Ref

Ref

Ref

Ref

 Yes

328

0.237

0.128

0.79 (0.61–1.01)

0.064

0.059

0.14

1.06 (0.81–1.40)

0.670

  ≤73

10,759

Ref

Ref

Ref

Ref

 >73

10,326

0.395

0.030

1.48 (1.40–1.57)

< 0.0001

< 0.0001

0.418

0.03

1.52 (1.43–1.61)

< 0.0001

< 0.0001