From: The impact of COVID-19 on the injury pattern for maxillofacial fracture in Daegu city, South Korea
 | 2019 | 2020 | P |
---|---|---|---|
Etiology (%) | |||
 Accident | 13 (5%) | 8 (4%) | 0.308 |
 High fall | 4 (2%) | 1 (1%) | 0.144 |
 Laboral | 10 (4%) | 13 (7%) | 0.096 |
 Fall down | 107 (42%) | 88 (45%) | 0.258 |
 Sports | 11 (4%) | 2 (1%) | 0.019* |
 Assault | 40 (16%) | 32 (16%) | 0.423 |
 MVA (% in total MVA) | 68 (27%) | 50 (26%) | 0.396 |
  Motorcycle | 15 (22%) | 16 (32%) | 0.025 |
  Car | 28 (41%) | 14 (28%) | 0.140 |
  Bicycle | 17 (25%) | 14 (28%) | 0.714 |
  E-scooter | 7 (10%) | 6 (12%) | 0.770 |
  E-wheelchair | 1 (2%) | 0 (0%) | 0.389 |
Type (%) | |||
 Mn.sym. | 80 (41%) | 96 (38%) | 0.66 |
 Mn.body | 25 (13%) | 40 (16%) | 0.55 |
 Mn.angle | 51 (26%) | 70 (28%) | 0.75 |
 Mn.ramus | 7 (4%) | 13 (5%) | 0.73 |
 Intracapsular | 54 (28%) | 85 (34%) | 0.36 |
 Extracapsular | 50 (26%) | 42 (17%) | 0.12 |
 Coronoid | 4 (2%) | 4 (2%) | 1.00 |
 Lefort1 fx. | 6 (3%) | 11 (4%) | 0.70 |
 Lefort2 fx. | 7 (4%) | 8 (3%) | 0.70 |
 ZMC | 9 (5%) | 8 (3%) | 0.47 |