Table 5.
Final predictive models for estimation of the number and duration of bruxism episodes.
| Dependent Variable | Independent Variables | B | 95% CI | t | Sig | F | Adjusted R2 | Durbin– Watson |
|---|---|---|---|---|---|---|---|---|
| Number of bruxism episodes/h | Constant | 2.1 | 0.5 to 3.6 | 2.7 | 0.012 | 8.3 P = .001 |
0.45 | 2.2 |
| Muscular index | 5.9 | 1.3 to 10.5 | 2.6 | 0.014 | ||||
| Component 2 | 1.4 | 0.6 to 2.3 | 3.5 | 0.002 | ||||
| Component 4 | –0.7 | –1.6 to 0.1 | –1.8 | 0.088 | ||||
| Duration of bruxism episodes (h) | Constant | –389.0 | –714.6 to –63.5 | –2.5 | 0.021 | 4.0 P = .010 |
0.36 | 2.0 |
| Articular index | –211.7 | –389.5 to –33.8 | –2.5 | 0.022 | ||||
| Functional index | 287.9 | 29.6 to 546.2 | 2.3 | 0.031 | ||||
| Age | 15.5 | 1.7 to 29.3 | 2.3 | 0.029 | ||||
| Female sex | 103.8 | 4.1 to 203.6 | 2.1 | 0.042 | ||||
| Component 1 | –35.9 | –73.8 to 1.9 | –1.9 | 0.062 |
B = regression coefficient, CI = confidence interval, F = F-test statistic, Sig = significance, t = t statistic.