From: Physical activity and the outcome of cognitive trajectory: a machine learning approach
Cognitive variables | Total sample [n = 319] | IG [n = 161] | CG [n = 158] | |||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
 | Distribution of decliners and non- decliners | Time* Group Effects | Effect Size |  | Decliners | Non- Decliners | Differences within IG |  | Decliners | Non- Decliners | Differences within CG | |
M (SE) | P | P | ηp2 | M (SE) | M (SE), n (%) | M (SE), n (%) | P | M (SE) | M (SE), n (%) | M (SE), n (%) | P | |
MMSE (post–pre) | -0.3 (0.2) | 0.225–0.933 | 0.351–0.874 | 0.000–0.003 | -0.2 (0.3) | -3.6 (0.3), 71 (44) | 2.5 (0.3), 90 (56) |  < 0.001 | 0.1 (0.4) | -4.0 (0.4), 64 (41) | 2.9 (0.3), 94 (59) |  < 0.001 |
RWT_animals (post–pre) | -0.4 (0.2) | 0.536–0.954 | 0.481–0.909 | 0.000–0.002 | -0.4 (0.3) | -2.9 (0.2), 78 (49) | 2.1 (0.2), 83 (51) |  < 0.001 | -0.4 (0.3) | -2.9 (0.3), 76 (48) | 2.0 (0.3), 82 (52) |  < 0.001 |
CDT (post–pre) | -0.1 (0.1) | 0.336–0.823 | 0.215–0.639 | 0.000–0.005 | -0.1 (0.1) | -1.5 (0.1), 59 (37) | 0.7 (0.1), 102 (63) |  < 0.001 | -0.2 (0.1) | -1.5 (0.1), 52 (33) | 0.5 (0.1), 106 (67) |  < 0.001 |
TMT (pre-post) | 8.4 (2.5) | 0.521–0.984 | 0.342–0.953 | 0.000–0.003 | 7.7 (3.3) | -31.9 (4.7), 46 (29) | 23.6 (3.4), 115 (71) |  < 0.001 | 9.2 (3.5) | -33.5 (4.1), 42 (27) | 24.5 (3.2), 116 (73) |  < 0.001 |
DS_for (post–pre) | 0.1 (0.1) | 0.277–0.919 | 0.115–0.610 | 0.001–0.007 | 0.2 (0.1) | -1.4 (0.1), 45 (28) | 0.7 (0.1), 116 (72) |  < 0.001 | 0.0 (0.1) | -1.4 (0.1), 49 (31) | 0.6 (0.1), 109 (69) |  < 0.001 |
DS_back (post–pre) | 0.2 (0.1) | 0.035–0.5311 | 0.323–0.990 | 0.000–0.003 | 0.2 (0.1) | -1.2 (0.1), 37 (23) | 0.7 (0.1), 124 (77) |  < 0.001 | 0.2 (0.1) | -1.2 (0.1), 45 (29) | 0.8 (0.1), 113 (71) |  < 0.001 |
CVLT (post–pre) | 0.8 (0.3) | 0.349–0.922 | 0.375–0.981 | 0.000–0.002 | 0.6 (0.4) | -4.0 (0.4), 62 (39) | 3.5 (0.3), 99 (61) |  < 0.001 | 0.9 (0.4) | -3.1 (0.3), 62 (39) | 3.4 (0.3), 96 (61) |  < 0.001 |