Table 3:
Stepwise Forward Regression analysis for Learning and Memory: Statisitcs for variables contributing significantly to the model.
| Standardised Beta weight | Variance explained (%) | Cumulative variance explained (%) | |
|---|---|---|---|
| Learning | |||
| Years of Education | .550 (p<.001) | 21.2% | 21.2% |
| Right Hippocampal Volume | .458 (p=.001) | 20.2% | 41.4% |
| Model Statistics | F=13.05, p<.001 | ||
| (For reference and comparison to the Memory model below only: Grp X IL-6, Standardised Beta weight = −.232, p=.070) | |||
| Memory | |||
| Years of Education | .501 (p<.001) | 21.4% | 21.4% |
| Right Hippocampal Volume | .439 (p=.001) | 17.1% | 38.5% |
| Grp X IL-6 | −.264 (=.043) | 6.7% | 45.2% |
| Model Statistics | F=9.92, p<.001 | ||
Variables entered into stepwise regression as independent variables: age, FSRP, BMI, Highest Education Level, Gender, GDS, HA1c, IL-1β, TNF-α, IL-6, left and right hippocampal volumes, group by cytokine interaction terms (Grp × IL-1β, Grp × TNF-α, Grp × IL-6).
GDS=Geriatric Depression Scale; FSRP=Framingham Stroke Risk Profile score; IL-6=interleukin 6