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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 4.

Hierarchical multiple linear regression predicting CBF in Females (n = 63)

Model Independent predictors β (SE) Standardized β p value
1 Age −.002 (.002) −.164 .226
APOE ε4 −.018 (.020) −.125 .369
Family History of AD  .027 (.019)  .184 .176
Education  .007 (.004)  .248 .055
Handedness  .039 (.031)  .156 .215
2 Age  .000 (.002)  .023 .878
APOE ε4 −.029 (.019) −.204 .141
Family History of AD  .032 (.019)  .223 .096
Education  .004 (.004)  .149 .267
Handedness  .035 (.030)  .139 .248
Physical Activity −.024 (.043) −.080 .574
Fitness  .006 (.002)  .426 .011

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