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. Author manuscript; available in PMC: 2018 Jun 1.
Published in final edited form as: Psychosom Med. 2017 Jun;79(5):533–540. doi: 10.1097/PSY.0000000000000449

Table 3.

Linear regression models testing contributions of a priori selected regional gray matter volumes (GMV) to Digit Symbol Substitution Test score in adults with and without type 1 diabetes (N=169).

Factor(s) in Model Model 1a Model 2b Model 3c Model 4d
Standardized β (p-value)
Type 1 diabetes −0.358 (<0.001) −0.202 (0.012) −0.171 (0.033) −0.195 (0.009)
Left putamen * 0.285 (<0.001) 0.241 (0.003) 0.196 (0.010)
WMH severity −0.184 (0.010) −0.095 (0.16)
Age −0.332 (<0.001)
Type 1 diabetes −0.358 (<0.01) −0.231 (0.005) −0.193 (0.018) −0.219 (0.004)
Right putamen * 0.231 (0.005) 0.192 (0.018) 0.145 (0.057)
WMH severity −0.199 (0.005) −0.107 (0.12)
Age −0.337 (<0.001)
Type 1 diabetes −0.358 (<0.001) −0.295 (<0.001)
Left thalamus 0.121 (0.14)
Type 1 diabetes −0.358 (<0.001) −0.315 (0.001)
Right thalamus 0.074 (0.39)
*

Indicates normalized GMV for this region significantly attenuated the relationship between type 1 diabetes and DSST;

Regional GMV normalized to total brain volume.

White matter hyperintensity (WMH) severity: Fazekas score 2–3 vs. 1

Factors in model:

a

T1D status, education, sex

b

Model 1 plus regional GMV

c

Model 2 further adjusted for WMH severity

d

Model 3 further adjusted for age