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. 2023 Feb 3;11:1028461. doi: 10.3389/fpubh.2023.1028461

Table 4.

Relationship between TyG-BMI and the risk of diabetes in prediabetic patients in different models.

Exposure Crude model (HR, 95%CI) Model I (HR, 95%CI) P Model II (HR, 95%CI) P Model III (HR, 95% CI) P
TyG-BMI 1.012 (1.011, 1.013) < 0.001 1.012 (1.011, 1.013) < 0.001 1.011 (1.010, 1.012) < 0.001 1.010 (1.009, 1.011) < 0.001
TyG-BMI quartile
Q1 Ref Ref Ref Ref
Q2 1.994 (1.710, 2.324) < 0.001 1.743 (1.494, 2.034) < 0.001 1.756 (1.502, 2.052) < 0.001 1.645 (1.405, 1.927) < 0.001
Q3 2.950 (2.553, 3.408) < 0.001 2.496 (2.156, 2.889) < 0.001 2.525 (2.174, 2.933) < 0.001 2.268 (1.943, 2.647) < 0.001
Q4 3.966 (3.449, 4.562) < 0.001 3.502 (3.038, 4.038) < 0.001 3.371 (2.906, 3.910) < 0.001 2.920 (2.497, 3.414) < 0.001
P for trend 1.514 (1.458, 1.572) < 0.001 1.477 (1.420, 1.536) < 0.001 1.451 (1.393, 1.511) < 0.001 1.387 (1.328, 1.449) < 0.001

Crude model: we did not adjust other covariates.

Model I: we adjusted age, sex.

Model II: we adjusted age, sex, SBP, DBP ALT, AST, BUN, LDL-C, HDL-c, family history of diabetes, drinking status, and smoking status.

Model III: we adjusted age (smooth), sex, SBP (smooth), DBP (smooth), ALT (smooth), AST (smooth), LDL-c (smooth), HDL-c (smooth), smoking status, drinking status, family history of diabetes.

HR, Hazard ratios; CI: confidence, Ref: reference.