| Literature DB >> 26531139 |
Meire Coelho Ferreira1, Anne Margareth Batista2, Leandro Silva Marques3, Fernanda de Oliveira Ferreira4, João Batista Medeiros-Filho5, Maria Letícia Ramos-Jorge6.
Abstract
BACKGROUND: The aim of study was to determine the occurrence of tooth injuries and associated factors among patients treated at a hospital emergency ward.Entities:
Mesh:
Year: 2015 PMID: 26531139 PMCID: PMC4632462 DOI: 10.1186/s12903-015-0125-4
Source DB: PubMed Journal: BMC Oral Health ISSN: 1472-6831 Impact factor: 2.757
Distribution of socio-demographic variables and types of accident. Guanhães, Brazil, 2005-2007 (n = 790)
| Variable | n (%) |
|---|---|
| Gender | |
| Male | 537 (68.0) |
| Female | 253 (32.0) |
| Agea | |
| <13 years | 83 (10.5) |
| 13 to 19 years | 205 (25.9) |
| 20 to 29 years | 317 (40.1) |
| ≥30 years | 185 (23.4) |
| Residence | |
| Urban areas | 534 (67.6) |
| Rural areas | 256 (32.4) |
| Type of accident | |
| Automobile accident | 59 (7.5) |
| Motorcycle accident | 72 (9.1) |
| Bicycle accident | 87 (11.0) |
| Accident with animal | 111 (14.1) |
| Work-related accident | 40 (5.1) |
| Violence | 150 (19.0) |
| Sports | 162 (20.5) |
| Fall | 115 (14.6) |
aMean age: 25.75 ± 14.11 years
Distribution of tooth injuries according to gender. Guanhães, Brazil, 2005-2007 (n = 790)
| Type of tooth injury | Male | Female | Total (%) |
|---|---|---|---|
| n (%) | n (%) | n (%) | |
| Fractures | 116 (73.0) | 43 (27.0) | 159 (20.1) |
| Concussion | 404 (65.6) | 212 (34.4) | 616 (78.0) |
| Luxation | 31 (63.3) | 18 (36.7) | 49 (6.2) |
| Avulsion | 44 (65.7) | 23(34.3) | 67 (8.5) |
Fractures = Enamel fracture, enamel + dentin fracture and enamel + dentin fracture with pulp involvement
Distribution of tooth injuries according to age group. Guanhães, Brazil, 2005-2007 (n = 790)
| Type of tooth injury | Age group | ||||
|---|---|---|---|---|---|
| <13 years | 13-19 years | 20-29 years | ≥30 years | Total (%) | |
| n (%) | n (%) | n (%) | n (%) | ||
| Fractures | 22 (13.8) | 43 (27.0) | 69 (43.4) | 25 (15.7) | 159 (20.1) |
| Concussion | 63 (10.2) | 167 (27.1) | 251 (40.7) | 135 (21.9) | 616 (78.0) |
| Luxation | 6 (12.2) | 13 (26.5) | 20 (40.8) | 10 (20.4) | 49 (6.2) |
| Avulsion | 10 (14.9) | 21 (31.3) | 23 (34.3) | 13 (19.4) | 67 (8.5) |
Distribution of tooth injuries according to type of accident. Guanhães, Brazil, 2005-2007 (n = 790)
| Type of tooth injury | Automobile accident | Motorcycle accident | Bicycle accident | Accident with animal | Work-related accident | Violence | Sports | Fall | Total (%) |
|---|---|---|---|---|---|---|---|---|---|
| n (%) | n (%) | n (%) | n (%) | n (%) | n (%) | n (%) | n (%) | ||
| Fractures | 13 (8.2) | 32 (20.1) | 35 (22) | 25 (15.7) | 10 (6.3) | 2 (1.3) | 39 (24.5) | 2 (1.3) | 159 (20.1) |
| Concussion | 41 (6.7) | 55 (8.9) | 58 (9.4) | 95 (15.4) | 21 (3.4) | 129 (20.9) | 136 (22.1) | 85 (13.8) | 616 (78.0) |
| Luxation | 3 (6.1) | 1 (2.0) | 37 (75.5) | 2 (4.1) | 4 (8.2) | 0 (.0) | 1 (2.0) | 3 (6.1) | 49 (6.2) |
| Avulsion | 8 (11.9) | 12 (17.9) | 15 (22.4) | 15 (22.4) | 2 (3.0) | 0 (.0) | 13 (19.4) | 2 (3.0) | 67 (8.5) |
Distribution of type of accident according to age group. Guanhães, Brazil, 2005-2007 (n = 790)
| Type of accident | Age group | ||||
|---|---|---|---|---|---|
| <13 years | 13-19 years | 20-29 years | ≥30 years | Total (%) | |
| n (%) | n (%) | n (%) | n (%) | ||
| Automobile | 3 (5.1) | 8 (13.6) | 30 (50.8) | 18 (30.5) | 59 (7.5) |
| Motorcycle | 4 (5.6) | 15 (20.8) | 45 (62.5) | 8 (11.1) | 72 (9.1) |
| Bicycle | 12 (13.8) | 23 (26.4) | 30 (34.5) | 22 (25.3) | 87 (11.0) |
| Accident with animal | 0 (0) | 29 (26.1) | 45 (40.5) | 37 (33.3) | 111 (14.1) |
| Work-related accident | 0 (0) | 9 (22.5) | 15 (37.5) | 16 (40.0) | 40 (5.1) |
| Violence | 4 (2.9) | 34 (24.3) | 68 (48.6) | 34 (24.3) | 140 (17.7) |
| Sports | 27 (16.7) | 70 (43.2) | 61 (37.7) | 4 (2.5) | 162 (20.5) |
| Falls | 33 (28.7) | 17 (14.8) | 22 (19.1) | 43 (37.4) | 115 (14.6) |
Multiple regressions for tooth fractures and periodontal tissues injuries. Guanhães, Brazil, 2005-2007 (n = 790)
| Univariate and multivariate Poisson regression for dental concussion and tooth fractures | |||||||
| Dependent variables | Independent variables | Crude PR | 95 % CI |
| Adjusted PR | 95 % CI |
|
| Concussion | Residencea | 1.416 | 1.041-1.927 | 0.027 | 1.635 | 1.199-2.230 | 0.002 |
| Gendera | 1.528 | 1.114-2.098 | 0.009 | 1.673 | 1.225-2.285 | 0.001 | |
| Violence | 1.708 | 1.122-2.599 | 0.013 | 1.940 | 1.263-2.982 | 0.003 | |
| Sports | 1.468 | 1.005-2.146 | 0.047 | 1.863 | 1.287-2.696 | 0.001 | |
| Fractures | Motorcycle accident | 1.482 | 1.202-1.827 | 0.000 | 1.597 | 1.295-1.968 | 0.000 |
| Bicycle accident | 1.378 | 1.156-1.643 | 0.000 | 1.484 | 1.245-1.769 | 0.000 | |
| Sports | 1.065 | 0.969-1.171 | 0.190 | 1.168 | 1.065-1.281 | 0.001 | |
| Univariate and multivariate logistic regression for dental luxation and avulsion | |||||||
| Dependent variables | Independent variables | Crude OR | 95 % CI | p | Adjusted OR | 95 % CI | p |
| Luxation | Bicycle accident | 42.612 | 20.917-86.808 | 0.000 | ____ | ____ | ____ |
| Avulsion | Motorcycle accident | 2.411 | 1.224-4.750 | 0.011 | 2.955 | 1.471-5.937 | 0.002 |
| Bicycle accident | 2.608 | 1.398-4.867 | 0.003 | 3.078 | 1.620-5.848 | 0.001 | |
PR prevalence ratio, OR odds ratio, CI confidence interval
Fractures: Enamel fracture, enamel + dentin fracture and enamel + dentin fracture with pulp involvement grouped
aReference categories: Residence – rural area; gender – female