Table 2 Multivariate logistic regression analysis for risk factors associated T2DM in the development set (N = 242,003).

From: A nomogram model for screening the risk of diabetes in a large-scale Chinese population: an observational study from 345,718 participants

Intercept and variable

β

Odds ratio

95% CI

Z value

p value

Age

0.048

1.049

(1.048–1.050)

80.332

< 0.001

Heart rate

0.013

1.013

(1.011–1.014)

15.949

< 0.001

SBP

0.017

1.017

(1.016–1.018)

36.546

< 0.001

Gender

 Men

Ref

1

Ref

 Female

–0.294

0.745

(0.721–0.770)

–17.394

< 0.001

Exercise situation

 No

Ref

1

Ref

 Yes

–0.350

0.705

(0.682–0.728)

–21.149

< 0.001

Drinking amount

 No drinking

Ref

1

Ref

 0–25 g per time

–0.258

0.772

(0.734–0.814)

-9.838

< 0.001

 > 25 g per time

0.487

1.627

(1.447–1.827)

8.168

< 0.001

Smoking amount

 No smoking

Ref

1

Ref

 0–20 cigarettes per day

0.388

1.474

(1.401–1.551)

14.951

< 0.001

 > 20 cigarettes per day

1.205

3.336

(2.956–3.763)

19.573

< 0.001

WHtR

 < 0.4

Ref

1

Ref

 0.4–0.5

0.486

1.626

(1.315–2.037)

4.364

< 0.001

 0.5–0.6

1.065

2.901

(2.351–3.627)

9.643

< 0.001

 ≥ 0.6

1.492

4.445

(3.596–5.566)

13.402

< 0.001

Fatty liver

 No

Ref

1

Ref

 Yes

1.127

3.087

(2.987–3.190)

67.350

< 0.001

Gallbladder disease

 No

Ref

1

Ref

 Yes

0.197

1.218

(1.167–1.271)

9.023

< 0.001

  1. β is the regression coefficient.
  2. CI Confidence interval, WHtR waist-to-height ratio, SBP systolic blood pressure.