Table 3.
The results of logistic regression analysis for the association between dietary diversity score and accelerated phenotypic age, weighted.
| Dietary diversity score | Model 1 | Model 2 | Model 3 | |||
|---|---|---|---|---|---|---|
| OR (95% CI) | p-value | OR (95% CI) | p-value | OR (95% CI) | p-value | |
| Continuous | 0.86 (0.83, 0.88) | <0.001 | 0.84 (0.82, 0.86) | <0.001 | 0.84 (0.82, 0.86) | <0.001 |
| Quintile 1 | Reference | Reference | Reference | |||
| Quintile 2 | 0.72 (0.64, 0.82) | <0.001 | 0.71 (0.62, 0.80) | <0.001 | 0.72 (0.63, 0.82) | <0.001 |
| Quintile 3 | 0.63 (0.57, 0.70) | <0.001 | 0.60 (0.55, 0.67) | <0.001 | 0.61 (0.55, 0.68) | <0.001 |
| Quintile 4 | 0.45 (0.40, 0.52) | <0.001 | 0.42 (0.37, 0.48) | <0.001 | 0.43 (0.38, 0.49) | <0.001 |
| p for trend | <0.001 | <0.001 | <0.001 | |||
OR (95% CI): odd ratio (95% confidence intervals); Model 1:crude model; Model 2: adjusted for age, gender, race, poverty income ratio and educational level; Model 3: adjusted for Model 2 and hypertension, cardiovascular disease, diabetes mellitus, cancer, body mass index, smoking status, alcohol consumption, dietary energy and metabolic equivalent.