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. Author manuscript; available in PMC: 2020 Jun 16.
Published in final edited form as: Int J Geriatr Psychiatry. 2017 Mar 8;33(1):104–112. doi: 10.1002/gps.4686

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