Table 2: Bivariate and mixed effects binary logistic regression analyses for patients with and without impacted third molars (N=2550).

- - With Impacted Third Molar No Impacted Third Molar - - - - - -
N % N % Unadjusted OR 95% CI p Adjusted OR 95% CI p
Sex Male 1012 65.2 639 64.0 0.95 (0.8, 1.12) 0.508 1.074 (0.85, 1.36) 0.544
Female 539 34.8 360 36.0 Reference Reference
Age 18-19 80 5.2 75 7.5 Reference Reference
20-24 293 18.9 114 11.4 2.41 (1.64, 3.53) 0.000 2.79 (1.63, 4.77) 0.000
25-29 258 16.6 108 10.8 2.23 (1.51, 3.29) 0.000 2.32 (1.41, 3.79) 0.001
30-34 295 19.0 130 13.0 2.12 (1.45, 3.09) 0.000 2.21 (1.38, 3.55) 0.001
35-39 263 17.0 93 9.3 2.65 (1.79, 3.94) 0.000 2.95 (1.78, 4.87) 0.000
40-44 111 7.2 120 12.0 0.87 (0.58, 1.3) 0.493 0.87 (0.51, 1.49) 0.608
45-49 92 5.9 121 12.1 0.71 (0.47, 1.07) 0.104 0.66 (0.37, 1.18) 0.158
50-54 62 4.0 66 6.6 0.89 (0.55, 1.42) 0.614 0.86 (0.49, 1.52) 0.607
≥55 96 6.2 172 17.2 0.52 (0.35, 0.78) 0.002 0.49 (0.29, 0.82) 0.007
Jaw Lower 825 53.2 455 45.5 1.36 (1.16, 1.59) 0.000 1.38 (1.12, 1.70) 0.002
Upper 726 46.8 544 54.5 reference reference

OR, odds ratio; CI, confidence interval
Mixed effects regression was used to model the binary outcome variable