Research Article

Identification of Potential Type II Diabetes in a Large-Scale Chinese Population Using a Systematic Machine Learning Framework

Table 2

Screening the risk factors for T2DM by multiple logistic regression (CI = confidence interval).

Intercept and variableOdds ratio95% CI value value

Age (years)1.047(1.046-1.048)113.625<0.001
BMI (kg/m2)1.016(1.012-1.020)7.894<0.001
Waist circumference (cm)1.016(1.015-1.018)23.905<0.001
Systolic pressure (mmHg)1.002(1.001-1.003)5.304<0.001
Diastolic pressure (mmHg)1.001(0.999-1.002)1.6500.099
Ethnicity, (%)
 Han1Ref
 Uygur1.011(0.981-1.043)0.7340.463
 Kazak0.460(0.426-0.497)-19.669<0.001
 Hui1.075(1.040-1.111)4.269<0.001
 Mongolian0.464(0.342-0.616)-5.127<0.001
 Other nationalities0.989(0.912-1.072)-0.2630.793
Gender, (%)
 Male1Ref
 Female1.017(0.994-1.041)1.4440.149
Physical activity, (%)
 No1
 Yes0.715(0.699-0.731)-29.179<0.001
Drinking status, (%)
 No1Ref
 Yes0.891(0.864-0.918)-7.424<0.001
Drinking amount (g)
 <1701Ref
 ≥1701.239(1.185-1.296)9.432<0.001
Smoking amount (cigarettes)1.005(1.002-1.007)3.921<0.001
Smoking status, (%)
 No1Ref
 Yes1.137(1.086-1.191)5.452<0.001
Dietary ratio, (%)
 Meat based1Ref
 Meat balanced0.917(0.869-0.969)-3.1050.002
 Vegetarian based1.019(0.941-1.103)0.4550.649
Sugar loving, (%)
 No1Ref
 Yes0.994(0.896-1.101)-0.1190.906
Oil loving, (%)
 No1Ref
 Yes1.157(1.072-1.249)3.730<0.001
Salt loving, (%)
 No1Ref
 Yes0.989(0.932-1.049)-0.3620.718
Fatty liver, (%)
 No1Ref
 Yes2.224(2.168-2.280)62.430<0.001
Hypertension, (%)
 No1Ref
 Yes2.373(2.312-2.435)65.334<0.001

Abbreviation: BMI: body mass index.