Table 1 Baseline demographic characteristics for the total sample and for each of the three latent profiles in BBHI and Medit-Ageing
Total sample | Profile 1 (low protective) | Profile 2 (high risk) | Profile 3 (well-balanced) | Differences between profilesd | Planned pairwise comparisons | |
|---|---|---|---|---|---|---|
BBHI | ||||||
N (%) | 750 (100.0) | 196 (26.136) | 149 (19.87) | 405 (54.0) | − | − |
Age, years | 51.4 (7.0) | 52.2 (7.0) | 49.4 (6.5) | 51.8 (7.1) | F = 8.3, P < 0.001 | Profile 1 > profile 2 (β = 3.8, P < 0.001) Profile 1 ≈ profile 3 (β = 0.7, P = 0.470) Profile 2 < profile 3 (β = 3.8, P < 0.001) |
Sex (female), N (%) | 379 (51.5) | 84 (42.9) | 93 (62.4) | 202 (49.9) | X2 = 13.1, P = 0.001 | Profile 1 < profile 2 (χ2 = 12.2, P < 0.001) Profile 1 ≈ profile 3 (χ2 = 2.3, P = 0.127) Profile 2 > profile 3 (χ2 = 6.4, P = 0.012) |
Education, years | 17.2 (3.8) | 16.6 (3.7) | 17.0 (3.9) | 17.5 (3.7) | F = 4.1, P = 0.017 | Profile 1 ≈ profile 2 (β = −0.9, P = 0.383) Profile 1 < profile 3 (β = 2.8, P = 0.005) Profile 2 ≈ profile 3 (β = −1.5, P = 0.141) |
Ethnicity (white), N (%) | 693 (92.4) | 176 (89.8) | 142 (95.3) | 375 (92.6) | X2 = 4.2, P = 0.121 | − |
APOE ε4 carriera, N (%) | 60 (20.1) | 18 (20.7) | 16 (25.4) | 26 (17.4) | X2 = 1.8, P = 0.412 | − |
Medit-Ageing | ||||||
N (%) | 282 (100.0) | 59 (20.9) | 64 (22.7) | 159 (56.4) | − | − |
Age, years | 71.1 (5.9) | 72.5 (6.6) | 69.8 (5.0) | 71.1 (5.8) | F = 3.4, P = 0.036 | Profile 1 > profile 2 (P = 0.027) Profile 1 ≈ profile 3 (P = 0.252) Profile 2 ≈ profile 3 (P = 0.627) |
Sex (female), N (%) | 178 (63.1) | 40 (67.8) | 44 (68.8) | 94 (59.1) | X2 = 2.5, P = 0.284 | − |
Education, years | 13.4 (3.4) | 13.4 (3.9) | 13.4 (3.2) | 13.4 (3.3) | F = 0.0, P = 0.997 | − |
Ethnicity (white)b, N (%) | 142 (96.6) | 55 (96.5) | 30 (96.8) | 57 (96.7) | X2 = 3.7, P = 0.713 | − |
APOE ε4 carrierc, N (%) | 76 (28.6) | 16 (27.6) | 12 (20.3) | 48 (30.2) | X2 = 3.0, P = 0.228 | − |
