Triglyceride glucose-waist circumference as a useful predictor for diabetes mellitus: a secondary retrospective analysis utilizing a Japanese cohort study

Table 1 The Association between TyG-WC and Incident Diabetes in various models

Variable	Crude model (HR.,95% CI, P)	Model I (HR,95% CI, P)	Model II (HR,95% CI, P)	Model III (HR,95% CI, P)
TyG-WC	1.009 (1.008, 1.010) < 0.00001	1.005 (1.004, 1.007) < 0.00001	1.004 (1.001, 1.006) 0.00072	1.003 (1.001, 1.005) 0.00102
TyG-WC (quartile)
Q1	ref	ref	ref	ref
Q2	2.638 (1.474, 4.721) 0.00109	1.751 (0.962, 3.184) 0.06662	1.466 (0.797, 2.694) 0.21823	1.462 (0.749, 2.855) 0.27851
Q3	4.702 (2.737, 8.078) < 0.00001	1.930 (1.058, 3.521) 0.03204	1.465 (0.791, 2.713) 0.22483	1.624 (0.788, 3.342) 0.19843
Q4	14.477 (8.722, 24.031) < 0.00001	2.905 (1.513, 5.578) 0.00135	1.763 (0.879, 3.536) 0.11052	1.986 (0.895, 4.405) 0.09214
P for trend	< 0.00001	0.00074	0.15512	0.09250

Note. Crude model: This unadjusted model evaluates the direct association between TyG-WC and diabetes risk without adjusting for any covariates. It represents the raw relationship, providing a baseline estimate of the risk before accounting for potential confounding factors. Model I: This minimally adjusted model includes age and gender as covariates to control for the basic demographic variations that could influence the relationship between TyG-WC and diabetes risk. Model II: Building on Model I, this model further adjusts for lifestyle factors such as smoking status, alcohol consumption, and physical activity, which are known to impact both metabolic health and diabetes risk. Model III: This fully adjusted model incorporates all the variables from Model II, as well as additional clinical parameters including BMI, systolic and diastolic blood pressure, and lipid profiles (HDL-C, and LDL-C), to provide a comprehensive assessment of the independent association between TyG-WC and incident diabetes

ISSN: 1472-6823