Table 2.
Logistic regression analysis for the relationship between various TyG index and GDM in different models.
| Parameters | Crude Model OR (95%CI), P-value |
Model 1 OR (95%CI), P-value |
Model 2 OR (95%CI), P-value |
|---|---|---|---|
| TyG index | 1.61 (1.11, 2.35) 0.0124 | 1.88 (1.25, 2.81) 0.0022 | 3.43 (1.20, 9.85) 0.0216 |
| TyG index Tertile | |||
| Tertile 1 | 1.0 | 1.0 | 1.0 |
| Tertile 2 | 0.90 (0.54, 1.51) 0.6942 | 0.98 (0.57, 1.66) 0.9317 | 1.62 (0.69, 3.80) 0.2660 |
| Tertile 3 | 1.49 (0.93, 2.41) 0.0983 | 1.75 (1.04, 2.93) 0.0353 | 3.92 (1.16, 13.25) 0.0282 |
| P for trend | 1.46 (0.92, 2.30) 0.1067 | 1.68 (1.02, 2.76) 0.0399 | 3.22 (1.07, 9.72) 0.0379 |
Crude model adjusts for: none.
Model 1 adjusts for: age and race.
Model 2 adjusts for: Model 1+ BMI; education level; hypertension; hypercholesterolemia; PIR; HDL-C; LDL-C; TC; HbA1c; gestational age; smoking status and drinking status.