Table 3.
Linear regression models predicting left or right hippocampal volume, corrected for total intracranial volume.
| Predictor | Outcome | Recency ratio Model1 | Total ratio Model2 | Immediate LMT Model3 | Delayed LMT Model4 | ||||
|---|---|---|---|---|---|---|---|---|---|
| p | p | p | p | ||||||
| Age at MRI scan | Left HV | <.001 | <.001 | <.001 | <.001 | ||||
| Right HV | <.001 | <.001 | <.001 | <.001 | |||||
| Gender | Left HV | <.001 | <.001 | <.001 | <.001 | ||||
| Right HV | <.001 | <.001 | <.001 | <.001 | |||||
| Education | Left HV | .114 | .105 | .264 | .343 | ||||
| Right HV | .613 | .598 | .923 | .993 | |||||
| APOE risk score | Left HV | .063 | .078 | .162 | .241 | ||||
| Right HV | .363 | .407 | .620 | .730 | |||||
| Elapsed time | Left HV | .318 | .188 | .305 | .256 | ||||
| Right HV | .258 | .174 | .240 | .210 | |||||
| Sample | Left HV | .226 | .128 | .379 | .580 | ||||
| Right HV | .022 | .012 | .085 | .111 | |||||
| LMT score | Left HV | <.001* | <.001* | .002* | <.001* | ||||
| Right HV | <.001* | <.001* | .004* | <.001* | |||||
| AIC | Left HV | −837.50 | −843.34 | −820.72 | −833.68 | ||||
| Right HV | −818.49 | −822.83 | −814.68 | −821.69 | |||||
| Adjusted R 2 | Left HV | .370 | .380 | .339 | .363 | ||||
| Right HV | .293 | .302 | .286 | .300 | |||||
Note: N = 355. β = Standardised regression coefficient; LMT = logical memory test; HV = Hippocampal volume; Elapsed time = time elapsed between MRI scan and neuropsychological assessment; p = p-value;
adjusted p-value for multiple comparisons. In all models, variables showed a Variation Inflation Factor (VIF) < 2; AIC = Akaike Information Criterion; Adjusted R2 = adjusted proportion of explained variance. Bold: model with significantly best model fit, as per delta-AIC. Models with left HV by TIV as outcome:
Model with Rr: F(7,347) = 30.644 p < .001;
Model with Tr: F(7,347) = 31.973 p < .001;
Model with Immediate LMT: F(7,347) = 26.940 p < .001;
Model with Delayed LMT: F(7,347) = 29.784 p < .001. With right HV by TIV as outcome:
Model with Rr: F(7,347) = 22.006 p < .001;
Model with Tr: F(7,347) = 22.888 p < .001;
Model with Immediate LMT: F(7,347) = 21.244 p < .001;
Model with Delayed LMT: F(7,347) = 22.655 p < .001.