White men (n = 782) | White women (n = 852) | |||||

Mean difference per unit increase in income category | Mean difference per unit increase in education category | Mean difference per unit increase in income category | Mean difference per unit increase in education category | |||

Neighborhood quartiles I–II (score <4.99) | −0.045 ± 0.044 | −0.131 ± 0.040 | −0.088 ± 0.039 | −0.198 ± 0.038 | ||

Neighborhood quartiles III–IV (score ≥4.99) | −0.051 ± 0.041 | −0.051 ± 0.043 | −0.101 ± 0.038 | −0.099 ± 0.045 | ||

P value for interaction | 0.92 | 0.17 | 0.81 | 0.09 | ||

Black men (n = 599) | Black women (n = 860) | |||||

Mean difference per unit increase in income category | Mean difference per unit increase in education category | Mean difference per unit increase in income category | Mean difference per unit increase in education category | |||

Neighborhood quartiles I–II (score <−0.71) | 0.135 ± 0.058 | 0.116 ± 0.070 | −0.044 ± 0.048 | −0.028 ± 0.059 | ||

Neighborhood quartiles III–IV (score ≥−0.71) | −0.031 ± 0.054 | −0.048 ± 0.056 | −0.118 ± 0.044 | −0.154 ± 0.048 | ||

P value for interaction | 0.04 | 0.07 | 0.25 | 0.10 |

Data are mans ± SE.

- *
↵* Categories correspond to those shown in Table 1. Mean difference per unit increase in income category corresponds to average change per unit difference in category obtained by including income and education categories in separate regression equations as ordinal covariates.

*P*value for interaction corresponds to interaction between neighborhood score (in two categories as shown) and the ordinal income or education variable.