Table 3.
Baseline characteristics split by abundant animal class knowledge (<7 vs. ≥7).
| Non-abundant knowledge (n = 491) | Abundant knowledge (n = 245) | Missing n (%) | Total (N = 736) | |
|---|---|---|---|---|
| Age (mean ± (SD), range []) | 56.8 (9.6), [27–79] | 59.4 (8.9), [30–78] | 0 (0.0) | 57.6 (9.4), [27–79] |
| Sex/gender (% female) | 106 (21.6) | 25 (10.2) | 0 (0.0) | 131 (17.8) |
| Education | 6 (0.8) | |||
|
45 (9.2) | 21 (8.6) | 66 (9.0) | |
|
325 (66.2) | 152 (62.0) | 477 (64.8) | |
|
116 (23.6) | 71 (29.0) | 187 (25.4) | |
| Animal fluency score/2 min (mean ± SD) | 23.2 (8.4) | 29.4 (7.9) | 25.2 (8.7) | |
| Letter fluency score (mean ± SD) | 11.4 (4.5) | 12.5 (4.6) | 11.8 (4.6) | |
| Profession | 97 (13.0) | |||
|
32 (6.5) | 14 (5.7) | 46 (6.2) | |
|
79 (16.1) | 44 (18.0) | 123 (16.7) | |
|
61 (12.4) | 40 (16.3) | 101 (13.7) | |
|
68 (13.8) | 25 (10.2) | 93 (12.6) | |
|
81 (16.7) | 39 (15.9) | 120 (16.4) | |
|
38 (7.7) | 10 (4.1) | 48 (6.5) | |
|
43 (8.8) | 29 (11.8) | 72 (9.8) | |
|
7 (1.6) | 4 (1.6) | 11 (1.6) | |
|
15 (2.9) | 5 (2.0) | 20 (2.6) | |
|
4 (0.8) | 1 (0.4) | 5 (0.7) | |
| Working status | 5 (0.7) | |||
|
196 (39.9) | 73 (29.8) | 269 (36.5) | |
|
12 (2.4) | 3 (1.2) | 15 (2.0) | |
|
29 (5.9) | 13 (5.3) | 42 (5.7) | |
|
195 (39.7) | 135 (55.1) | 330 (44.8) | |
|
48 (9.8) | 16 (6.5) | 64 (8.7) | |
|
6 (1.2) | 5 (2.0) | 11 (1.5) | |
| MMSE (mean ± SD) | 28.6 (1.8) | 28.6 (1.6) | 0 (0.0) | 28.6 (1.7) |
| MMSE | 0 (0.0) | |||
| <=26 (%) | 36 (7.3) | 20 (8.2) | 680 (92.4) | |
| >26 (%) | 455 (92.7) | 225 (91.8) | 56 (7.6) | |
| 15-WLT | ||||
|
28.5 (10.5) | 29.1 (10.2) | 3 (0.4) | 28.7 (10.4) |
|
8.8 (3.3) | 8.8 (3.4) | 10 (1.4) | 8.8 (3.3) |
| Rey-Osterrieth (mean ± SD) | 19.0 (6.4) | 20.4 (6.4) | 10 (1.4) | 19.4 (6.4) |
| DART vocabulary | 48.5 (15.0) | 49.2 (15.0) | 9 (1.2) | 48.7 (14.8) |