Table 3.
Predicting Cognitive Impairment.
| Independent variable | OR | P-value | 95% CI | VIF |
|---|---|---|---|---|
| Age | 1.09 | 0.006 | 1.02-1.15 | 1.32 |
| Sex | 3.92 | 0.008 | 1.41-10.9 | 1.19 |
| Tap time | 1.25 | 0.22 | 0.88-1.78 | 1.28 |
| Swipe time | 1.58 | 0.02 | 1.07-2.32 | 1.37 |
| Level reached | 2.36 | |||
| Accuracy | 2.37 | |||
| Response time | 2.14 |
a. Variables with VIF values exceeding 2.0 were considered as indicators of high multicollinearity and were excluded from the analysis.
b. Logistic regression with cognitive impairment as the outcome and age and game metrics as predictors.
c. Average swipe time emerged as the significant predictor of impairment status (P < 0.05).