Skip to main content

Table 2 The significant characteristics are included in the model and corresponding estimates

From: A novel model to predict mental distress among medical graduate students in China

Characteristics

Estimatesa

Assigned score

Intercept

−5.06

 

Year of study

 First-year

0.20

1

 Second-year

2

 Third-year

3

 Fourth-year

4

 In deferment period

5

Type of student

 Research-oriented

0.44

1

 Professional oriented

2

Daily research time (Hours)

 1–5

0.51

1

 6–10

2

 11–15

3

 ≥ 16

4

Monthly income (CNY)

 <1000

−0.28

1

 1000 ~ 3000

2

 3000 ~ 5000

3

 >5000

4

Scientific learning style

 Guiding by others

0.30

1

 Self-study

2

Feelings of time stress

 1 (None)

0.39

1

 2–3 (Mild)

2

 4–5 (Moderate)

3

 6–7 (Severe)

4

  1. Abbreviation: CNY Chinese Yuan
  2. Notes: Seven predictors were identified by the LASSO method to be associated with the prevalence of severe mental distress significantly. Estimates were calculated using the logistic regression model. Severe mental distress was taken as Y in the model. Six variables were included in the model according to the coefficient values (value>0.01)
  3. The formula: P(Y = 1) = ex / (1+ ex). x = − 5.06 + 0.20* Year of study + 0.44*Type of student + 0.51*Daily research time - 0.28*Monthly income + 0.30*Scientific learning style + 0.39*Feelings of time stress. P(Y = 1) indicates the predicted probability of severe mental distress
Back to article page

BMC Psychiatry

ISSN: 1471-244X

Contact us