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. 2022 Mar 7;4(2):fcac052. doi: 10.1093/braincomms/fcac052

Table 5.

Results of logistic regression for dementia with models using either hippocampus, amygdala or parahippocampus volumes, alongside various demographic and neuropathological measures in the NACC data set (N = 129)

Regions Outcome: dementia status
Model with hippocampus volume Model with amygdala volume Model with parahippocampus volume
Variables β Z P-value β Z P-value β Z P-value
Demographic
Volume/TIV 1.24 3.49 <0.001 1.15 3.51 <0.001 0.98 3.22 0.001
Age 1.30 3.10 0.002 1.16 2.90 0.004 1.20 2.99 0.003
Sex 0.52 1.64 0.1 0.32 1.05 0.3 0.34 1.12 0.3
Years education 0.29 0.97 0.3 0.24 0.83 0.4 0.09 0.29 0.8
Years MRI to death 0.73 2.46 0.01 0.70 2.43 0.02 0.71 2.49 0.01
Pathology
ADNP 0.65 2.28 0.02 0.52 1.80 0.07 0.67 2.41 0.02
Hippocampal sclerosis −0.33 −1.18 0.2 −0.05 −0.20 0.8 −0.08 −0.33 0.7
Lewy bodies 0.46 1.60 0.1 0.28 0.98 0.3 0.32 1.15 0.3
CAA 0.36 1.36 0.2 0.57 2.10 0.04 0.45 1.69 0.09
Atherosclerosis 0.01 0.04 0.9 0.07 0.24 0.8 0.06 0.21 0.8
McFadden R2 0.34 0.34 0.32

Bold denotes P < 0.05.

TIV, total intracranial volume; ADNP, Alzheimer’s disease neuropathology; CAA, cerebral amyloid angiopathy; Semi-Part., semi-partial correlation coefficient; Var. Exp., unique variance explained.