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. 2022 Jul 6;14(1):e12332. doi: 10.1002/dad2.12332

TABLE 3.

Linear regression coefficients of vascular factors and brain MRI measures

NODDI free water WM Fractional anisotropy WM White matter hyperintensity volume Gray matter cerebral blood flow White matter cerebral blood flow
(n = 415) (n = 438) (n = 455) (n = 423) (n = 423)
N beta SE P‐value N beta SE P‐value N beta SE P‐value N beta SE P‐value N beta SE P‐value
cfPWV (m/s)  Model 1 415 0.205 0.046 <.001 438 −0.109 0.051 0.034 455 0.101 0.043 0.021 424 −0.062 0.047 0.194 423 0.026 0.052 0.616
Model 2 410 0.183 0.047 <.001 433 −0.099 0.052 0.058 450 0.079 0.044 0.077 418 −0.040 0.048 0.410 418 0.053 0.053 0.317
SBP (mmHg) Model 1 410 0.140 0.046 0.003 433 −0.095 0.049 0.053 450 0.102 0.041 0.013 418 −0.106 0.045 0.020 418 −0.107 0.050 0.032
Model 2 410 0.093 0.046 0.045 433 −0.065 0.050 0.195 450 0.083 0.043 0.055 418 −0.087 0.046 0.062 418 −0.107 0.051 0.035

Notes: Model 1 adjusted for age, sex, race, and education. Model 2 adjusted for age, sex, race, education, and hypertension treatment, with SBP and cfPWV in the model together. Regression coefficients correspond to change in cognitive test performance corresponding to a one SD increase in PWV or SBP.

Abbreviations: cfPWV, carotid‐femoral pulse wave velocity; NODDI, neurite orientation density and dispersion imaging; SBP, systolic blood pressure; SD, standard deviation; SE, standard error; WM, white matter.