Table 5.
Regression equations for predicting one year language scores
| Cognitive scores | F(df) | R2 | SEesta | Cb | Variables in equationc |
|---|---|---|---|---|---|
| Same test | |||||
| COWAT | 62.13 (2,122) | 0.51*** | 8.86 | 30.42 | + (baseline COWAT*0.79) − (age*0.27) |
| Animals | 41.01 (1,120) | 0.26*** | 5.23 | 7.96 | + (baseline Animals*0.58) |
| Picture Naming | 27.16 (2,124) | 0.31*** | 0.57 | 5.71 | + (baseline Picture Naming*0.53) − (age*0.02) |
| Semantic Fluency | 57.71 (2,124) | 0.48*** | 3.56 | 1.21 | + (baseline Semantic Fluency*0.72) + (education*0.29) |
| Different test | |||||
| COWAT | 11.74 (1,121) | 0.09** | 12.05 | 27.22 | + (baseline Animals*0.71) |
| COWAT | 5.70 (1,125) | 0.04* | 12.19 | 0.40 | + (baseline Picture Naming*4.06) |
| COWAT | 7.75 (3,123) | 0.16*** | 11.53 | 5.09 | + (baseline Semantic Fluency*1.02) + (education*0.87) + (MCI*4.59) |
| Animals | 14.25 (2,121) | 0.19*** | 5.44 | 26.38 | + (baseline COWAT*0.19) - (age*0.20) |
| Animals | 9.82 (1,124) | 0.07** | 5.76 | 34.43 | - (age*0.21) [Picture Naming does not contribute] |
| Animals | 6.69 (3,122) | 0.14*** | 5.60 | 25.16 | + (baseline Semantic Fluency*0.34) − (age*0.14) − (gender*3.18) |
| Picture Naming | 8.14 (1,124) | 0.06** | 0.69 | 11.34 | − (age*0.02) [COWAT does not contribute] |
| Picture Naming | 7.70 (1,121) | 0.06** | 0.66 | 11.32 | − (age*0.02) [Animals does not contribute] |
| Picture Naming | 8.38 (1,125) | 0.06** | 0.66 | 11.35 | - (age*.02) [Semantic Fluency does not contribute] |
| Semantic Fluency | 11.26 (4,120) | 0.27*** | 4.27 | 28.46 | + (baseline COWAT*0.11) − (age*0.19) + (gender*2.64) − (MCI*1.86) |
| Semantic Fluency | 21.02 (3,119) | 0.35*** | 4.05 | 18.02 | + (baseline Animals*0.41) − (age*0.11) + (gender*3.01) |
| Semantic Fluency | 15.10 (2,124) | 0.20*** | 4.44 | 35.39 | − (age*0.24) + (gender*2.92) [Picture Naming does not contribute] |
Note. COWAT = Controlled Oral Word Association Test. For the R2, the following key denotes the significance of the final step within the regression model:
***
p<0.001,
**
p<0.01,
*
p<0.05.
a
Standard error of the estimate,
b
Constant,
c
Unstandardized beta weights for other variables in the equation. Age is years old at baseline visit. Education is years. Gender is coded as 0 = male, 1 = female. MCI status is coded as 0 = intact, 1 = MCI. To calculate the Predicted One Year score, use the following formula: (Constant value for the cognitive variable) + (Other variables in equation as noted in the Table).