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. 2022 Oct 17;12:17106. doi: 10.1038/s41598-022-20674-x

Table 1.

Demographic characteristics of the ADNI and NACC cohorts.

Dataset ADNI
(n = 2619)
NACC
(n = 2025)
Subject characteristics CN
(n = 782)
MCI
(n = 1089)
AD
(n = 748)
CN
(n = 1281)
MCI
(n = 322)
AD
(n = 422)
Age, mean (sd) 77.3 (5.6) 76.5 (7.3) 76.5 (7.3)

69.1 (9.4)*

(p-val < 0.01)

74.4 (8.5)*

(p-val < 0.01)

73.9 (8.8)*

(p-val: < 0.01)

Sex, n (%)
Male 394 (50.4%) 659 (60.5%) 406 (54.3%)

489 (38.2%)*

(p-val < 0.01)

128 (39.8%)*

(p-val < 0.01)

219 (49.5%)

(p-val:0.433)

Female 388 (49.6%) 430 (39.5%) 342 (45.7%)

792 (61.8%)*

(p-val < 0.01)

194 (60.2%)*

(p-val < 0.01)

223 (50.5%)*

(p-val:0.02)

Education, average years (sd) 17.2 (3.1) 16.7 (3.2) 16.1 (3.5)

16.3 (2.6)*

(p-val < 0.01)

15.7 (2.8)*

(p-val < 0.01)

15.1 (3.3)*

(p-val < 0.01)

APOE4, n (%) 224 (28.6%) 567 (52.1%) 496 (66.3%)

479 (37.4%)*

(p-val < 0.01)

146 (45.3%)*

(p-val:0.03)

202 (45.7%)*

(p-val < 0.01)

Significance of differences between NACC and ADNI for each cognitive category are reported. Statistical significance (at p-value < 0.05) is indicated by *.