Table 3.
The association between TyG-BMI and ischemic stroke by multivariate logistic regression analysis
| TyG-BMI | Sensitive analysis | |||||||
|---|---|---|---|---|---|---|---|---|
| Mode 1 OR (95% CI) | P value | Mode 2 OR (95% CI) | P value | Mode 3 OR (95% CI) | P value | Mode 4 OR (95% CI) | P value | |
| NSSIPL (N = 10,862) | ||||||||
| Continuous | ||||||||
| Per SD increase | 1.20 (1.10–1.32) | < 0.001 | 1.16 (1.06–1.27) | 0.002 | 1.20 (1.07–1.36) | 0.003 | 1.07 (0.93–1.23) | 0.324 |
| Categorical | ||||||||
| Low | 1 | – | 1 | – | 1 | – | 1 | – |
| Intermediated | 1.39 (1.10–1.74) | 0.005 | 1.34 (1.07–1.69) | 0.012 | 1.44 (1.12–1.85) | 0.004 | 1.30 (1.01–1.68) | 0.044 |
| High | 1.72 (1.37–2.17) | < 0.001 | 1.58 (1.25–2.01) | < 0.001 | 1.89 (1.35–2.64) | < 0.001 | 1.48 (1.03–2.13) | 0.033 |
| NCRCHS (N = 11,097) | ||||||||
| Continuous | ||||||||
| Per SD increase | 1.21 (1.07–1.36) | 0.002 | 1.17 (1.03–1.33) | 0.015 | 1.25 (1.06–1.48) | 0.008 | 1.13 (0.96–1.35) | 0.170 |
| Categorical | ||||||||
| Low | 1 | – | 1 | – | 1 | – | 1 | – |
| Intermediated | 1.22 (0.88–1.71) | 0.240 | 1.21 (0.87–1.69) | 0.262 | 1.37 (0.97–1.95) | 0.076 | 1.29 (0.91–1.83) | 0.152 |
| High | 1.84 (1.32–2.56) | < 0.001 | 1.75 (1.25–2.45) | 0.001 | 2.58 (1.62–4.13) | < 0.001 | 2.12 (1.32–3.41) | 0.002 |
Model 1: Adjusting for age, sex, education, regular exercise, current smoking, current drinking, atrial fibrillation, hypertension, coronary heart disease, LDL-C, HDL-C
Model 2: Adjusting for all risk the factors in model 1 and diabetes
Model 3: Adjusting for all risk the factors in model 1 and overweight or obesity
Model 4: Adjusting for age, sex, education, regular exercise, current smoking, current drinking, atrial fibrillation, hypertension, coronary heart disease, overweight or obesity and dyslipidemia
OR odds ratio, CI confidence interval, SD standard deviation, NSSIPL National Stroke Screening and Intervention Program in Liaoning; NCRCHS Northeast China Rural Cardiovascular Health Study