Table 4 Logistic regression analysis on the association of congenitally missing teeth with intra-articular TMD
Analysis level | Variable | P value | OR and 95%CI |
|---|---|---|---|
Simple logistic regression | Age | 0.024 | 0.989 (0.979–0.998) |
Gender | < 0.001 | 1.854 (1.467–2.343) | |
Congenitally missing teeth | < 0.001 | 2.257 (1.783–2.857) | |
Number of congenitally missing teeth | < 0.001 | 1.557 (1.345–1.803) | |
Number of non-congenitally missing teeth | 0.174 | 0.914 (0.804–1.040) | |
Number of dental quadrants with missing teeth | < 0.001 | 1.415 (1.241–1.613) | |
Visible third molar | 0.338 | 0.893 (0.709–1.126) | |
Orthodontic history | 0.002 | 2.367 (1.385–4.046) | |
Multivariable logistic regression | Age | 0.015 | 0.987 (0.976–0.997) |
Gender | < 0.001 | 1.750 (1.374–2.231) | |
Congenitally missing teeth | 0.017 | 1.711 (1.103–2.656) | |
Number of congenitally missing teeth | 0.213 | 0.718 (0.426–1.210) | |
Number of non-congenitally missing teeth | 0.142 | 0.749 (0.510–1.101) | |
Number of dental quadrants with missing teeth | 0.064 | 1.68 (0.970–2.910) | |
Visible third molar | 0.940 | 1.009 (0.792–1.286) | |
Orthodontic history | 0.107 | 1.584 (0.906–2.772) |