Table 2.
Associations of different classes of the TyG-BMI with stroke incidence
No. of events/total | Model 1a | Model 2b | Model 3c | Model 4d | |||||
---|---|---|---|---|---|---|---|---|---|
OR (95% CI) | P value | OR (95% CI) | P value | OR (95% CI) | P value | OR (95% CI) | P value | ||
Change in the TyG-BMIe | |||||||||
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-BMIf | |||||||||
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 trendg | < 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