Table 2.
Logistic Regression with APOE ε4 Carrier Status, BMI (Baseline and Five-Year Change), Age, Sex, Education, and Race Predicting Conversion to MCI or Dementia.
| Variable | b | SE | Wald | df | p | OR | 95% CI for OR | Nagelkerke R2 |
|---|---|---|---|---|---|---|---|---|
| Model 1 - Baseline BMI (bBMI) | ||||||||
| (Intercept) | −9.82 | 1.44 | 46.45 | 1 | <.001 | <0.001 | ||
| APOE | 0.89 | 0.15 | 35.93 | 1 | <.001 | 2.44 | 1.82-3.26 | |
| Age | 0.12 | 0.02 | 51.40 | 1 | <.001 | 1.12 | 1.09-1.16 | |
| Sex | 0.23 | 0.15 | 2.45 | 1 | .12 | 1.26 | 0.94-1.70 | |
| Education | −0.03 | 0.03 | 1.49 | 1 | .22 | 0.97 | 0.93-1.02 | |
| Race | 0.64 | 0.23 | 7.66 | 1 | .006 | 1.90 | 1.21-2.99 | |
| bBMI | −0.02 | 0.02 | 0.83 | 1 | .36 | 0.98 | 0.95-1.02 | |
| APOE * bBMI | 0.02 | 0.03 | 0.33 | 1 | .56 | 1.02 | 0.96-1.08 | |
| .112 | ||||||||
|
Model 2 - Five-Year
Standardized Residual Change in BMI (ΔBMI) |
||||||||
| (Intercept) | −10.04 | 1.35 | 55.71 | 1 | <.001 | <0.001 | ||
| APOE | 0.85 | 0.16 | 29.25 | 1 | <.001 | 2.33 | 1.72-3.17 | |
| Age | 0.11 | 0.02 | 42.12 | 1 | <.001 | 1.12 | 1.08-1.16 | |
| Sex | 0.29 | 0.16 | 3.41 | 1 | .065 | 1.33 | 0.98-1.80 | |
| Education | −0.02 | 0.03 | 0.59 | 1 | .44 | 0.98 | 0.93-1.03 | |
| Race | 0.66 | 0.24 | 7.83 | 1 | .005 | 1.93 | 1.22-3.07 | |
| ΔBMI | 0.01 | 0.09 | 0.01 | 1 | .92 | 1.01 | 0.84-1.21 | |
| APOE * ΔBMI | −0.33 | 0.16 | 4.47 | 1 | .035 | 0.72 | 0.53-0.98 | |
| .113 |
Note. Sex: males = 1, females = 0; Race: white = 1, nonwhite = 0; APOE: carrier = 1, noncarrier = 0.