Table 3.
Results of multiple logistic regression analysis with cognitive impairment (MMSE score <24) as an outcome (n = 1,143)
| Predictor variablesa | Adjusted OR (95% CI) | p value |
|---|---|---|
| Age (years) | 1.11 (1.08–1.13) | <0.001 |
| Body mass indexa | 1.39 (1.12–1.72) | 0.003 |
| History of stroke (0 = absent; 1 = present) | 1.88 (1.24–2.85) | 0.003 |
| History of myocardial infarction (0 = absent; 1 = present) | 1.95 (1.04–3.66) | 0.038 |
| Walking time (0 = none; 1 = 1–29; 2 = 30–59; 4 = ≥60 min/week) | 0.87 (0.73–1.04) | 0.132 |
| Alcohol intake (0 = nondrinker; 1 = chance drinker; 3 = drinker) | 0.86 (0.70–1.04) | 0.119 |
| Fruit consumption (0 = none; 1 = 1–2; 2 = 3–6; 3 = 7 times/week) | 0.82 (0.70–0.96) | 0.012 |
| Green tea consumption (0 = none; 1 = 1–6; 2 = 7 times/week) | 0.83 (0.70–0.98) | 0.032 |
a
All variables are included in the multivariate model.
b
BMI is categorized as 1 = 23.2–24.6 (3rd quintile); 2 = 21.1–23.1 (2nd quintile) and 24.7–26.7 (4th quintile), and 3 = <21.1 (1st quintile) and ≥26.8 (5th quintile) given the U-shaped association between BMI and cognitive impairment as shown in table 2.