Table 5 Logistic regression analysis on the association of congenitally missing teeth with pain-related TMD
Analysis level | Variable | P value | OR and 95%CI |
|---|---|---|---|
Simple logistic regression | Age | 0.101 | 0.982 (0.961–1.004) |
Gender | 0.034 | 1.759 (1.044–2.963) | |
Congenitally missing teeth | < 0.001 | 4.591 (2.480–8.500) | |
Number of congenitally missing teeth | < 0.001 | 1.738 (1.391–2.171) | |
Number of non-congenitally missing teeth | 0.880 | 0.980 (0.751–1.278) | |
Number of dental quadrants with missing teeth | < 0.001 | 1.678 (1.346–2.093) | |
Visible third molar | 0.050 | 0.608 (0.370-1.000) | |
Orthodontic history | 0.058 | 2.125 (0.975–4.632) | |
Multivariable logistic regression | Age | 0.069 | 0.979 (0.956–1.002) |
Gender | 0.104 | 1.562 (0.912–2.674) | |
Congenitally missing teeth | 0.009 | 3.093 (1.321–7.239) | |
Number of congenitally missing teeth | 0.516 | 0.727 (0.277–1.907) | |
Number of non-congenitally missing teeth | 0.607 | 0.817 (0.379–1.762) | |
Number of dental quadrants with missing teeth | 0.269 | 1.791 (0.637–5.034) | |
Visible third molar | 0.216 | 0.724 (0.435–1.207) | |
Orthodontic history | 0.592 | 1.251 (0.551–2.840) |