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. Author manuscript; available in PMC: 2014 Sep 1.
Published in final edited form as: Stroke. 2013 Jul 23;44(9):10.1161/STROKEAHA.113.001716. doi: 10.1161/STROKEAHA.113.001716

Table 3.

Regression Weights of Indices of Vascular Risk 1

Primary Sample (n=576)
Variable Beta Standard Error T p-value
Age −.17 .038 −4.57 <.001
Brain Volume .08 .052 1.62 Not Significant
Race .04 .039 .99 Not Significant
Sex .49 .050 9.63 <.001
Current Smoking −.01 .038 −.43 Not Significant

STEP 2

Cardiometabolic Risk −.11 .042 −2.63 .009
MetS −.05 .038 −1.36 Not Significant
Framingham Risk2 −.15 .060 −2.51 .01
Carotid IMT −.12 .047 −2.44 .01
Validation Sample (n=76)

Age −.07 .116 −.59 Not Significant

Brain Volume −.27 .183 −1.48 Not Significant

Race −.09 .121 −.72 Not Significant

Current Smoking .07 .119 .63 Not Significant

Sex .14 .179 .79 Not Significant
STEP 2

Cardiometabolic Risk −.36 .113 −3.20 .002

MetS −.32 .112 −2.84 .006

Framingham Risk2 −.13 .216 −.62 Not Significant

White Matter Hyperintensities −.06 .127 −.48 Not Significant
1

Model initially shows demographic and CBF result, then in Step 2 showing effect of adding either CMR or other risk factor, e.g., Framingham Risk score. Beta is standardized weight.

2

Model included total Framingham Risk score, race, and total brain volume.