Changes in the triglyceride glucose-body mass index estimate the risk of stroke in middle-aged and older Chinese adults: a nationwide prospective cohort study

Table 2 Associations of different classes of the TyG-BMI with stroke incidence

	No. of events/total	Model 1^a		Model 2^b		Model 3^c		Model 4^d
	No. of events/total	OR (95% CI)	P value	OR (95% CI)	P value	OR (95% CI)	P value	OR (95% CI)	P value
Change in the TyG-BMI^e
Class 1	48/1273	Reference		Reference		Reference		Reference
Class 2	112/1664	1.64 (1.11–2.42)	0.014	1.68 (1.13–2.51)	0.010	1.17 (0.77–1.77)	0.463	1.01 (0.65–1.57)	0.965
Class 3	64/1171	1.98 (1.39–2.81)	< 0.001	2.03 (1.43–2.89)	< 0.001	1.74 (1.22–2.49)	0.002	1.62 (1.11–2.32)	0.011
Class 4	53/475	3.66 (2.41–5.56)	< 0.001	3.91 (2.55–5.98)	< 0.001	2.07 (1.29–3.31)	0.002	1.71 (1.01–2.89)	0.044
Cumulative TyG-BMI^f
Quartile 1 [353, 534]	41/1146	Reference		Reference		Reference		Reference
Quartile 2 (534, 608]	73/1146	1.92 (1.30–2.85)	0.001	1.99 (1.34–2.95)	0.001	1.79 (1.20–2.67)	0.005	1.66 (1.11–2.50)	0.014
Quartile 3 (608, 693]	71/1145	1.91 (1.28–2.84)	0.002	2.06 (1.37–3.09)	< 0.001	1.60 (1.06–2.43)	0.027	1.41 (0.91–2.17)	0.122
Quartile 4 (693, 1130]	92/1146	2.56 (1.74–3.77)	< 0.001	2.80 (1.88–4.16)	< 0.001	1.65 (1.09–2.56)	0.022	1.36 (0.85–2.18)	0.205
P for trend^g			< 0.001		< 0.001		0.102		0.563

BMI: body mass index; CI: confidence interval; OR: odds ratio; TyG: triglyceride-glucose
^aAdjusted for age and sex
^bAdjusted for age, sex, marital status, residence, educational level, smoking status, and drinking status
^cAdjusted for variables in Model 2 and history of hypertension, diabetes, heart disease, dyslipidaemia, kidney disease, medication use for hypertension, medication use for diabetes, medication use for dyslipidaemia, systolic blood pressure, diastolic blood pressure
^dAdjusted for variables in Model 3 and total cholesterol, HDL-C, LDL-C, HbA1c, and the eGFR
^eThe TyG-BMI was calculated by the formula ln[Triglyceride (mg/dl) × Fasting blood glucose (mg/dl)/2] × BMI (kg/m²), and the change in TyG-BMI from 2012 to 2015 was analysed and classified into 4 classes using K-means clustering
^fThe cumulative TyG-BMI was calculated by the formula (TyG-BMI₂₀₁₂ + TyG-BMI₂₀₁₅)/2 × time_{(2015−2012)}, and then it was split into quartiles
^gTests for linear trends were performed by modelling the median value of each quantile to test ordered relations across quantiles of the cumulative TyG-BMI

ISSN: 1475-2840