Association of cardiometabolic factors and insulin resistance surrogates with mortality in participants from the Korean Genome and Epidemiology Study

Table 3 Percentage of variation in mortality outcomes explained by basic anthropometric and biochemical markers, and IR indices

Model	All-cause mortality		CVD mortality		Cancer mortality
Model	AI^a	% new information^b	AI	% new information	AI	% new information
Baseline^c	1.00	-	1.00	-	1.00	-
+Triglycerides	0.993	0.741	0.998	0.184	0.993	0.716
+Glucose	0.967	3.337	0.974	2.570	0.979	2.052
+HDL-C	0.990	1.044	0.987	1.268	0.987	1.285
+BMI	0.977	2.329	0.979	2.120	0.995	0.537
+WC	0.993	0.713	0.993	0.698	0.998	0.248
+TyG	0.993	0.739	0.992	0.822	0.997	0.273
+TyG-BMI	0.985	1.467	0.987	1.290	0.997	0.345
+TyG-WC	0.994	0.640	0.994	0.629	0.997	0.275
+METIR	0.986	1.369	0.984	1.586	0.998	0.237
+VAI	0.990	0.956	0.999	0.147	0.985	1.496
+LAP	0.991	0.911	0.999	0.148	0.994	0.605

BMI, body mass index; WC, waist circumference; HDL-C, high density lipoprotein cholesterol; TyG, triglyceride-glucose index; VAI, visceral adiposity index; LAP, lipid accumulation product; METS-IR, metabolic score for insulin resistance; AI, adequacy index;
^aLog-likelihood _{baseline model}/ Log-likelihood _{model including biomarker/IR index}
^b(1-AI)*100
^cIncluded age (spline), sex, education, monthly family income, marital status, smoking, drinking, regular physical exercise, disease score and hs-CRP. The baseline models for CVD and cancer mortality additionally included baseline history of CVD and cancer respectively

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