Table 3 Logistic regression analysis on the association of congenitally missing teeth with overall TMD
Analysis level | Variable | P value | OR and 95%CI |
|---|---|---|---|
Simple logistic regression | Age | 0.020 | 0.988 (0.978–0.998) |
Gender | < 0.001 | 1.832 (1.449–2.316) | |
Congenitally missing teeth | < 0.001 | 2.419 (1.908–3.066) | |
Number of congenitally missing teeth | < 0.001 | 1.651 (1.421–1.917) | |
Number of non-congenitally missing teeth | 0.147 | 0.907 (0.796–1.035) | |
Number of dental quadrants with missing teeth | < 0.001 | 1.474 (1.290–1.684) | |
Visible third molar | 0.294 | 0.883 (0.700-1.114) | |
Orthodontic history | 0.002 | 2.290 (1.339–3.914) | |
Multivariable logistic regression | Age | 0.011 | 0.986 (0.975–0.997) |
Gender | < 0.001 | 1.732 (1.357–2.210) | |
Congenitally missing teeth | 0.022 | 1.689 (1.080–2.642) | |
Number of congenitally missing teeth | 0.231 | 0.714 (0.412–1.239) | |
Number of non-congenitally missing teeth | 0.110 | 0.708 (0.464–1.081) | |
Number of dental quadrants with missing teeth | 0.049 | 1.801 (1.003–3.235) | |
Visible third molar | 0.989 | 1.002 (0.785–1.278) | |
Orthodontic history | 0.159 | 1.496 (0.854–2.622) |