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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 4.

Linear regression models showing relationships between a priori selected regional gray matter volumes (GMV) and Digit Symbol Substitution Test in adults with type 1 diabetes (N=88).

Factor(s) in Model Model 1a Model 2b Model 3c Model 4d
Standardized β (p-value)
Left Putamen GMV 0.293 (0.003) 0.246 (0.006) 0.284 (0.004) 0.238 (0.015)
Age −0.406 (<0.001)
Hyperglycemia −0.118 (0.22)
WMH severity −0.247 (0.011)
Right Putamen GMV 0.242 (0.015) 0.207 (0.021) 0.236 (0.017) −0.207 (0.031)
Age −0.417 (<0.001)
Hyperglycemia −0.129 (0.19)
WMH severity −0.273 (0.005)
Left Thalamus GMV 0.269 (0.006) 0.288 (0.001) 0.261 (0.008) 0.204 (0.037)
Age −0.449 (<0.001)
Hyperglycemia −0.122 (0.21)
WMH severity −0.245 (0.013)
Right Thalamus GMV 0.198 (0.046) 0.223 (0.012) 0.191 (0.054) 0.121 (0.22)
Age −0.449 (<0.001)
Hyperglycemia −0.129 (0.19)
WMH severity −0.264 (0.009)

Regional GMV normalized to total brain volume.

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

Factors in model:

Model 1: Regional GMV, education, sex

Model 2: Model 1 plus age

Model 3: Model 1 plus HbA1c months (see (23) for details)

Model 4: Model 1 plus WMH severity