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. Author manuscript; available in PMC: 2020 Aug 1.
Published in final edited form as: Brain Imaging Behav. 2020 Aug;14(4):1154–1163. doi: 10.1007/s11682-019-00068-w

Table 3.

Hierarchical multiple linear regression predicting CBF in the entire sample (n = 100)

Model Independent predictors β (SE) Standardized β p value
1 Age −.001 (.001) −.078 .467
Gender −.040 (.017) −.270 .018
APOE ε4 −.008 (.015) −.052 .625
Family History of AD  .016 (.017)  .105 .335
Education  .006 (.003)  .220 .048
Handedness  .032 (.021)  .165 .125
2 Age  .001 (.001)  .050 .668
Gender −.059 (.018) −.402 .001
APOE ε4 −.015 (.016) −.106 .328
Family History of AD  .023 (.017)  .148 .175
Education  .005 (.003)  .188 .112
Handedness  .032 (.020)  .166 .115
Physical Activity  .019 (.039)  .056 .629
Fitness  .003 (.001)  .295 .026

Fitness, V̇O2peak; Physical activity, moderate-vigorous; APOE ε4, apolipoprotein E ε4 allele; AD, Alzheimer’s disease; CBF, resting cerebral blood flow; β, beta coefficient; SE, standard error