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. Author manuscript; available in PMC: 2017 Nov 27.
Published in final edited form as: J Int Neuropsychol Soc. 2017 Jun 29;23(8):640–652. doi: 10.1017/S1355617717000480

Table 4.

Impact of health literacy and insurance type on racial differences in Fluid Composite T-Scores post-strokea

Variable Model 1 Model 2
Estimate (SE) p Estimate (SE) p
Race (Black)b   0.36 (1.75)   .84 −1.26 (1.65)   .45
Oral Reading T   0.30 (0.08) <.001   0.44 (0.07) <.001
Stroke Severity (Severe)c −5.12 (1.56)   .001 −4.61 (1.61)   .005
Health literacy   0.43 (0.11) <.001   —   —
Insurance typed   —   —   —   .007
 Medicaid   —   —   0.69 (2.21)   .76
 Medicare   —   —   6.54 (2.21)   .004
 Independent Living Center   —   —   1.37 (10.17)   .89
 Other (including private)   —   —   6.56 (2.18)   .003
a

Results based on two separate multivariable linear regression models, both adjusting for similar covariates (Model 1: F[4,164] = 19.53, p<.001, Adjusted R2 =0.31; Model 2: F[7, 159] = 11.06, p<.001, Adjusted R2 = 0.30);

b

Reference group = White;

c

Reference group = Mild to moderate;

d

Reference group = Supplemental Security Income (SSI), State Disability Insurance (SDI), or Social Security (SS).