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. Author manuscript; available in PMC: 2024 Feb 20.
Published in final edited form as: Neurobiol Aging. 2023 May 18;129:149–156. doi: 10.1016/j.neurobiolaging.2023.05.008

Table 2.

Bivariate correlations among socioeconomic variables in the entire sample and in each racial/ethnic group.

Entire Sample (N=662)
Non-Latinx Black (N=223)
Latinx (N=271)
Non-Latinx White (N=168)
1 2 3 4 1 2 3 4 1 2 3 4 1 2 3 4
1. Financial Worry - −.346* −.121* .060 - −.305* .039 −.030 - −.224* −.011 .199* - −.418* −.028 .046
2. Joint Monthly Income −.346* - .519* −.011 −.305* - .326* −.065 −.224* - .241* −.014 −.418* - .185* −.103
3. Education −.121* .519* - .035 .039 .326* - −.041 −.011 .241* - −.037 −.028 .185* - .087
4. WMHa .060 −.011 .035 - −.030 −.065 −.041 - .199* −.014 −.037 - .046 −.103 .087 -

Note.

*

p < .05. Values reflect two-tailed Pearson correlation coefficients.

a

WMH = White Matter Hyperintensities in cm3