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. Author manuscript; available in PMC: 2023 Jan 1.
Published in final edited form as: J Prev Alzheimers Dis. 2022;9(2):297–305. doi: 10.14283/jpad.2022.1

Table 4.

Statistics from hierarchical regression analyses for covariates and CNTN-CC (block 1) and dual task performance variables (block 2) predicting amyloid SUVR

Variable b SE β p value R2 ΔR2
Block 1 (same for all models) <.001 .374 .374
 Age −.007 .004 −.193 .122
 Education .015 .012 .155 .201
 APOE −.078 .067 −.140 .249
 CNTN-CC −.061 .012 −.652 <.001
mDTE model <.001
Block 2 .362 .385 .012
 Age −.006 .004 −.180 .153
 Education .015 .012 .155 .200
 APOE −.073 .068 −.131 .283
 CNTN-CC −.057 .012 −.613 <.001
 mDTE −.002 .001 −.292 .362
cogDTE model <.001
Block 2 .088 .413 .040
 Age −.006 .004 −.162 .189
 Education .015 .011 .152 .199
 APOE −.054 .067 −.097 .422
 CNTN-CC −.061 .012 −.652 <.001
 cogDTE −.001 <.001 −.231 .088
cDTE model <.001
Block 2 .018 .447 .074
 Age −.005 .004 −.129 .283
 Education .014 .011 .150 .193
 APOE −.045 .065 −.080 .499
 CNTN-CC −.041 .014 −.442 .004
 cDTE −.001 <.001 −.337 .018