Table 1.
Multiple Linear Regression Models for Driving Scores
| A. Subjects with none to moderate dementia | ||
| Multiple regression for TOTAL, gender, education, CDR, age, MMSE, MVA | ||
| Significant for | TOTAL | t = 4.5, P < .001 |
| Education | t = −2.1, P = .04 | |
| CDR | t = −5.6, P < .001 | |
| MVA | t = −3.1, P = .005 | |
| R2 = .84; prob > F < .0001 | ||
| B. Subjects with very mild to mild dementia | ||
| Multiple regression for TOTAL, gender, education, CDR, age, MMSE, MVA | ||
| Significant for | TOTAL | t = 4.1, P = .001 |
| Education | t = −2.4, P = .02 | |
| CDR | t = −3.8, P = .001 | |
| MVA | t = −3.1, P = .006 | |
| R2 = .78; prob > F < .0001 | ||
TOTAL, total of all maze scores; CDR, Clinical Dementia Rating; MMSE, Mini-Mental State Examination score; MVA, number of motor vehicle accidents.