Table 4.
Linear regression models to examine the effects of hypertension and Cerebrospinal fluid amyloid beta 1–42 levels on white matter microstructural alterations.
| Aβ1–42 | HTN | Aβ1–42 × HTN | |
|---|---|---|---|
| Model 1a (F6,55 = 7.0, R2 = 0.432, p < 0.001) | B = 0.016 (.007) | B = −0.01 (.065) | B = −0.01 (.143) |
| Model 2a (F5,56 = 7.8, R2 = 0.409, p < 0.001) | B = 0.018 (.001) | B = −0.011 (.067) | -- |
| Model 3b (F7,54 = 5.9, R2 = 0.434, p < 0.001) | B = 0.016 (.007) | B = −.0011 (.063) | B = −0.008 (.138) |
| Model 4b (F6,55 = 6.4, R2 = 0.410, p < 0.001) | B = 0.018 (.001) | B = −0.011 (.067) | -- |
Linear regression models using the fractional anisotropy values of the normally appearing white matter (NAWM-FA) as the dependent variable. Values shown are standardized β-coefficients with p-values in parentheses. Predictors of interest were CSF levels of Aβ1–42, HTN, and Aβ1–42 × HTN interaction (Models 1, 3). The analyses were repeated without the non-significant interaction term (Models 2, 4).
a
Covariates included in models 1 & 2 were age, gender, and cognitive status.
b
Covariates included in models 3 & 4 were age, gender, cognitive status, and mFRS.