Table 3.
Predictor Effects for Stroop Scores Regressed with Model 1 and Model 2
| Measure | Model 11
|
Model 22
|
||
|---|---|---|---|---|
| Group β (p) | Age β (p) | UPDRS β (p) | Age β (p) | |
| Processing speed | ||||
| Word reading | −.21 (.02*) | −.02 (.83) | −.36 (.02*) | .11 (.47) |
| Color naming | −.19 (.04*) | −.27 (.004*) | −.36 (.02*) | −.12 (.42) |
| Interference | ||||
| Difference score | −.20 (.03*) | −.09 (.32) | −.31 (.04*) | −.01 (.94) |
| Golden’s score | .14 (.14) | −.16 (.08) | .18 (.26) | −.15 (.34) |
| Relative score | −.14 (.14) | .08 (.36) | −.20 (.20) | .09 (.57) |
| Ratio score | −.11 (.25) | .05 (.57) | −.14 (.36) | .06 (.72) |
| Residualized score | −.11 (.23) | .11 (.22) | −.12 (.46) | .09 (.57) |
1
Model 1 predictors included disease status group (0 = control and 1 = PD patient), age, education, sex, and depression score, and examined the full data sample (N = 126). Each Stroop score was predicted in a separate linear regression using these five predictors.
2
Model 2 predictors included UPDRS score, age, education, sex, and depression score (N = 51). Model 2 examined effects within the PD patient sample only. Each Stroop score was predicted in a separate linear regression using these five predictors.
β = standardized beta coefficient
*
p < 0.05