Table 2.
Logistic regression analyses for albuminuria according to TyG index.
| Prevalence * n (%) |
Model 1 | Model 2 | Model 3 | ||||
|---|---|---|---|---|---|---|---|
| Variable | OR (95% CI) | p | OR (95% CI) | p | OR (95% CI) | p | |
|
TyG index (per 1.0 increase) |
233 (4.3) | 2.41 (2.03–2.86) | <0.001 | 2.63 (2.18–3.18) | <0.001 | 1.56 (1.24–1.95) | <0.001 |
| Tertile of TyG index | |||||||
| Tertile 1 (lowest) | 44 (2.4) | (Reference) | |||||
| Tertile 2 | 64 (3.5) | 1.64 (1.12–2.40) | 0.01 | 1.66 (1.13–2.44) | 0.01 | 1.49 (1.01–2.21) | 0.04 |
| Tertile 3 (highest) | 125 (6.9) | 3.05 (2.15–4.33) | <0.001 | 3.08 (2.12–4.49) | <0.001 | 1.65 (1.08–2.52) | 0.02 |
* p < 0.001. Model 1: Unadjusted model. Model 2: Adjusted for age and sex. Model 3: Adjusted for age; sex; smoking and alcohol status; education and income levels; BMI; SBP; hemoglobin; eGFR(CKD-EPI); and past history of HTN, DM, and dyslipidemia. Abbreviations: TyG—triglyceride-glucose; OR—odds ratio; CI—confidence interval; BMI—body mass index; SBP—systolic blood pressure; eGFR—estimated glomerular filtration rate; CKD-EPI—CKD Epidemiology Collaboration; HTN—hypertension; DM—diabetes mellitus.