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. Author manuscript; available in PMC: 2018 Apr 1.
Published in final edited form as: Psychosom Med. 2017 Apr;79(3):327–335. doi: 10.1097/PSY.0000000000000408

Table 4.

Multivariate analyses of the interactions between Education and Income with Race as related to brain volume measures (N = 147)

Outcome

Total Brain Volume Gray Matter Volume White Matter Volume White Matter Lesion
Volume

Interaction Term b part η2 P b part η2 p b part η2 p b part η2 p
Continuous Education × Race −9.42 0.016 0.041 −5.26 0.017 0.028 −4.16 0.013 0.085 −0.065 0.003 0.56
Trichotomous Education × Race
  Education 2nd Tertile ×
Race
−62.56 0.014 0.051 −31.82 0.013 0.058 −30.74 0.014 0.068 −0.834 0.009 0.28
  Education 3rd Tertile ×
Race
−87.01 0.025 0.010 −43.30 0.022 0.014 −43.71 0.026 0.013 −0.884 0.009 0.28
Dichotomous Education × Race 73.54 0.024 0.012 37.00 0.021 0.015 35.53 0.024 0.017 0.949 0.013 0.18
Poverty Status × Race 58.33 0.016 0.038 29.00 0.014 0.049 29.33 0.017 0.046 0.689 0.007 0.32
Trichotomous Income × Race
  Income 2nd Tertile ×
Race
−49.74 0.011 0.090 −23.64 0.009 0.12 −26.10 0.012 0.090 −0.497 0.004 0.49
  Income 3rd Tertile ×
Race
−94.71 0.017 0.034 −47.88 0.015 0.040 −46.84 0.017 0.045 0.758 0.018 0.12

Data reflect unstandardized regression coefficients (b), semipartial η2, and p-values illustrating associations between Education × Race and Income × Race interactions with brain volume measures for various education and income variables