Table 6.
Linear Regression Models for Predictors of Correctly Identifying Signs/Symptoms and Risk Factors
| Standard | ||||
|---|---|---|---|---|
| Estimate (b) | Error | t Value | P Value | |
| Model 3: Risk factors | ||||
| Age | −0.0027 | 0.0002 | 11.53 | <.0001 |
| Gender (female) | −0.0039 | 0.0034 | −1 .16 | n.s. |
| Race (black) | 0.0723 | 0.0126 | 5.74 | <.0001 |
| Education | 0.0228 | 0.0033 | 6.83 | <.0001 |
| Regular dentist | 0.0139 | 0.0040 | 3.45 | .0006 |
| Race * Education | −0.0107 | 0.0031 | −3.44 | .0006 |
| Education in whites | 0.0122 | |||
| Education in blacks | 0.0335 | |||
| Model 4: Signs and symptoms |
||||
| Age | −0.0006 | 0.0003 | −1 .76 | .0779 |
| Gender (female) | −0.0142 | 0.0051 | −2.76 | .0058 |
| Race (black) | 0.0936 | 0.0176 | 5.33 | <.0001 |
| Education | 0.0372 | 0.0049 | 7.55 | <.0001 |
| Health literacy | 0.0241 | 0.0077 | 3.11 | .0019 |
| Regular dentist | 0.0178 | 0.0059 | 3.00 | .0027 |
| Race * Education | 0.0123 | 0.0043 | −2.88 | .0041 |
| Education in whites | 0.0249 | |||
| Education in blacks | 0.0496 | |||