Table 2.
The multiple linear regression analysis for the association between dietary diversity score and phenotypic age acceleration, weighted.
| Dietary diversity score | Model 1 | Model 2 | Model 3 | |||
|---|---|---|---|---|---|---|
| β (95% CI) | p-value | β (95% CI) | p-value | β (95% CI) | p-value | |
| Continuous | −0.39 (−0.42, −0.36) | <0.001 | −0.39 (−0.42, −0.35) | <0.001 | −0.33 (−0.36, −0.30) | <0.001 |
| Quintile 1 | Reference | Reference | Reference | |||
| Quintile 2 | −0.78 (−0.96, −0.61) | <0.001 | −0.75 (−0.92, −0.58) | <0.001 | −0.60 (−0.76, −0.45) | <0.001 |
| Quintile 3 | −1.19 (−1.35, −1.04) | <0.001 | −1.19 (−1.33, −1.04) | <0.001 | −0.99 (−1.12, −0.84) | <0.001 |
| Quintile 4 | −1.95 (−2.11, −1.78) | <0.001 | −1.92 (−2.08, −1.76) | <0.001 | −1.58 (−1.73, −1.42) | <0.001 |
| p for trend | <0.001 | <0.001 | <0.001 | |||
β (95% CI): estimate regression coefficients (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.