Table 2.
Associations of severe tooth wear for the whole dentition with different types of bruxism using binary logistic regression.
| Variables | With Severe Tooth Wear (n = 224) 1 |
Without Severe Tooth Wear (n = 502) 1 |
Univariate Analysis | Multivariable Analysis 2 | ||
|---|---|---|---|---|---|---|
| OR (95% CI) | p-Value | OR (95% CI) | p-Value | |||
| Non-bruxism | 76 (33.9) | 287 (57.2) | Reference | Reference | ||
| Sleep bruxism | 128 (57.1) | 191 (38.0) | 2.53 (1.81–3.55) | <0.001 | 2.77 (1.82–4.21) | <0.001 |
| Awake bruxism | 6 (2.7) | 8 (1.6) | 2.83 (0.95–8.41) | 0.061 | 1.98 (0.55–7.17) | 0.296 |
| Overlap of sleep and awake bruxism | 14 (6.3) | 16 (3.2) | 3.30 (1.54–7.07) | 0.002 | 3.28 (1.26–8.54) | 0.015 |
Abbreviations: CI, confidence interval. 1 Values listed in these columns are numbers (percentages) of subjects. 2 Adjusted for age, sex, gastroesophageal reflux disease, smoking, heavy drinking, tea consumption, acidic diet, and timely rinsing.