Table 3.
Percentage and number of significant voxels across predictors for joint model S.2 (all CVR factors) and for marginal models S.3.1 – S.3.6 (one of the CVR factors). Note that for factor variables with more than two levels (smoking score and APOE- status), level 0 is used as a baseline and we estimate the effects of level 1 and level 2 relative to baseline. All models include the same confounding variables age, sex, age-sex interaction and head size; Voxels with at least four individuals having a WMH explored (40,001 voxels in the brain mask) and 5% FDR correction applied, i.e. % FDR-corrected voxels is out of a total of 40,001 voxels. Columns 2 and 3 complementary to Fig. 6(a) and (b), respectively.
| Predictor (level) | FDR-corrected voxels % (voxel count) |
|
|---|---|---|
| Joint model (S.2) | Marginal models (S.3.1-S.3.6) | |
| Hypertension risk (1) | 11.8% (4,705) | 13.4% (5,366) |
| Hypercholesteromia (1) | 0.02% (10) | 1.6% (648) |
| Diabetes (1) | 1.5% (607) | 8.2% (3,270) |
| Smoking score (1) | 0.3% (133) | 1.6% (636) |
| Smoking score (2) | 1.1% (424) | 4.1% (1,633) |
| Waist-to-hip ratio (1) | 4.6% (1,841) | 10.7% (4,297) |
| APOE- status (1) | 0.0% (0) | 0.0% (0) |
| APOE- status (2) | 4.2% (1,708) | 3.9% (1,549) |