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