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. 2022 Oct 31;80(1):49–57. doi: 10.1001/jamaneurol.2022.3711

Table 1. Demographics, Clinical, Psychosocial, and Neuropathologic Characteristics and Correlations With Scam Susceptibility.

Factor Mean (SD) Correlation with scam susceptibilitya P value
Demographics
Age at death, y 91.3 (6.1) 0.28 <.001
Men, No. (%) 111 (27) –0.29 .77
Women, No. (%) 297 (73)
Education 15.6 (3.1) 0.05 .27
Cognition
Global cognition –0.7 (1.0) –0.35 <.001
Episodic memory –0.6 (1.2) –0.34 <.001
Semantic memory –0.5 (1.1) –0.35 <.001
Working memory –0.5 (1.0) –0.25 <.001
Visuospatial ability –0.2 (1.0) –0.28 <.001
Perceptual speed –1.0 (0.9) –0.37 <.001
Psychosocial factors
Depression 1.6 (1.9) –0.01 .78
Neuroticism 15.0 (6.5) 0.13 .01
Well-being 5.2 (0.6) –0.25 <.001
Purpose 3.4 (0.5) –0.06 .21
Anxiety 1.3 (1.5) 0.04 .42
Extraversion 15.7 (3.1) 0.01 .87
Vascular risk burden, No. (%)
Diabetes 92 (23) 1.39 .17
Hypertension 285 (70) –0.33 .74
Smoking 162 (40) 3.00 .003
Neuropathology, No. (%)
Macroscopic infarcts 154 (38) –2.79 .006
Microinfarcts 163 (40) –2.03 .04
Arteriolosclerosis (basal ganglia) 100 (25) –2.97 .003
CAA 143 (35) –0.79 .43
Atherosclerosis 83 (20) –2.41 .02
AD pathologic diagnosis 256 (63) –3.65 .0003
LATE-NC (stage 2/3) 135 (33) –3.05 .002
Lewy bodies 104 (25) –1.82 .07

Abbreviations: AD, Alzheimer disease; CAA, cerebral amyloid angiopathy; LATE-NC, limbic-predominant age-related transactive response DNA-binding protein 43 encephalopathy.

a

Correlations derived from Spearman or t tests.