Table 5.
Relationship between TyG-BMI and the risk of diabetes in participants with prediabetes in different sensitivity analyses.
Exposure | Model I (HR, 95%CI) P | Model II (HR, 95%CI) P | Model III (HR, 95%CI) P |
---|---|---|---|
TyG-BMI | 1.011 (1.010, 1.012) < 0.001 | 1.011 (1.010, 1.012) < 0.001 | 1.015 (1.011, 1.018) < 0.001 |
TyG-BMI quartile | |||
Q1 | Ref | Ref | Ref |
Q2 | 1.738 (1.466, 2.061) < 0.001 | 1.775 (1.513, 2.084) < 0.001 | 1.687 (1.431, 1.989) < 0.001 |
Q3 | 2.541 (2.158, 2.992) < 0.001 | 2.570 (2.204, 2.996) < 0.001 | 2.510 (2.076, 3.035) < 0.001 |
Q4 | 3.272 (2.776, 3.856) < 0.001 | 3.458 (2.970, 4.026) < 0.001 | 1.869 (1.187, 2.944) 0.007 |
P-for trend | < 0.001 | < 0.001 | < 0.001 |
Model I was a sensitivity analysis performed on participants who had never consumed alcohol (N = 20,484). We adjusted age, sex, SBP, DBP ALT, AST, BUN, LDL-C, HDL-c, family history of diabetes, and smoking status.
Model II was a sensitivity analysis performed on participants without a family history of diabetes (N = 24,654). We adjusted age, sex, SBP, DBP ALT, AST, BUN, LDL-C, HDL-c, drinking status, and smoking status.
Model III was a sensitivity analysis performed after excluding participants with BMI≥25 kg/m2 (N = 13,571). We adjusted age, sex, SBP, DBP ALT, AST, BUN, LDL-C, HDL-c, drinking status, smoking status, and family history of diabetes.
HR, Hazard ratios; CI, confidence; Ref, reference.