Table 3.
Multivariate logistic regression model for predicting stroke.
| Variables | Odds ratio | 95% CI | χ2 | P-value |
|---|---|---|---|---|
| Age | 1.03 | 0.96, 1.09 | 0.60 | 0.44 |
| Gender | 5.11 | 1.12, 23.27 | 4.45 | 0.04* |
| Exercise | 2.64 | 1.10, 6.30 | 4.76 | 0.03* |
| Meat and vegetarian (balanced) | 1.00 | |||
| Meat and vegetarian (more meat) | >999.99 | <0.01, >999.99 | 3.00×10−3 | 0.96 |
| Meat and vegetarian (vegetarian based) | >999.99 | <0.01, >999.99 | 2.60×10−3 | 0.96 |
| BMI | 1.08 | 0.88, 1.32 | 0.51 | 0.47 |
| Waist circumference | 1.05 | 0.93, 1.19 | 0.65 | 0.42 |
| SBP | 1.01 | 0.96, 1.04 | 0.77 | 0.38 |
| CVAI | 1.00 | 0.97, 1.03 | 1.10×10−3 | 0.97 |
| Waist-height ratio×100 | 0.99 | 0.82, 1.19 | 0.02 | 0.90 |
P < 0.05.
SBP, systolic blood pressure; CVAI, Chinese visceral adiposity index.