Table 2.
Regression Models
| Model 1: Predictors of CA in the VaD and AD cohorts. | ||||||
|---|---|---|---|---|---|---|
| Cohort: | VaD | AD | Comparison | |||
| Response | Predictor | β estimate | Pr(>|t|) | β estimate | Pr(>|t|) | Pr(>|t|) |
| CA | Sex | -0.16 | 0.020 | 0.14 | 0.052 | 0.0027 |
| Age | 0.23* | < 10-5 | 0.094* | 0.016 | 0.014 | |
| Infarcts (count) | 0.094* | 0.0059 | -0.065* | 0.076 | 0.0015 | |
| WMH (1-100) | 0.18* | < 10-5 | 0.15* | 1.6 × 10-4 | 0.61 | |
| MTA | 0.38* | < 10-5 | 0.41* | < 10-5 | 0.66 | |
| Model 2: Predictors of MTA in the VaD and AD samples. | ||||||
|---|---|---|---|---|---|---|
| Cohort: | VaD | AD | Comparison | |||
| Response | Predictor | β estimate | Pr(>|t|) | β estimate | Pr(>|t|) | Pr(>|t|) |
| MTA | Sex | -0.19 | 0.016 | -0.015 | 0.84 | 0.11 |
| Age | 0.28* | < 10-5 | 0.33* | < 10-5 | 0.41 | |
| WMH (1-100) | 0.21* | < 10-5 | 0.16* | < 10-5 | 0.35 | |
| Stroke (Yes/No) | -0.23 | 0.033 | 0.095 | 0.48 | 0.06 | |
| Model 3: Impact of MTA on cognitive ability (MMSE score) | ||||||
|---|---|---|---|---|---|---|
| Cohort: | VaD | AD | Comparison | |||
| Response | Predictor | β estimate | Pr(>|t|) | β estimate | Pr(>|t|) | Pr(>|t|) |
| MMSE | Sex | -0.0064 | 0.93 | 0.10 | 0.33 | 0.40 |
| Age | -0.035* | 0.37 | 0.067* | 0.25 | 0.14 | |
| MTA | -0.34* | < 10-5 | -0.38* | < 10-5 | 0.56 | |
| Model 4: Impact of vascular disease markers on cognitive ability (MMSE score) | ||||||
|---|---|---|---|---|---|---|
| Cohort: | VaD | AD | Comparison | |||
| Response | Predictor | β estimate | Pr(>|t|) | β estimate | Pr(>|t|) | Pr(>|t|) |
| MMSE | Sex | 0.018 | 0.82 | 0.083 | 0.46 | 0.63 |
| Age | -0.12* | 0.0021 | -0.094* | 0.12 | 0.71 | |
| WMH (1-100) | -0.13* | 6.1 × 10-4 | -0.049* | 0.42 | 0.25 | |
| Stroke (Yes/No) | -0.081 | 0.44 | 0.019 | 0.92 | 0.65 | |
*
indicates β estimate can be interpreted as a correlation coefficient.