| Literature DB >> 27148496 |
Tasneem S Ain1, Ravishankar Lingesha Telgi1, Saima Sultan2, Pradeep Tangade1, Chaitra Ravishankar Telgi2, Amit Tirth1, Sumit Kumar Pal1, Owais Gowhar3, Vaibhav Tandon1.
Abstract
BACKGROUND: Traumatic dental injuries to anterior teeth are a significant public health problem, not only because their prevalence is relatively high, but also because they have considerable impact on children's daily lives. Traumatic dental injuries (TDIs) cause physical and psychological discomfort, pain and other negative impacts, such as tendency to avoid laughing or smiling, which can affect social relationships.Entities:
Keywords: Risks; Schools; Traumatic Dental Injuries
Year: 2016 PMID: 27148496 PMCID: PMC4853495 DOI: 10.5812/atr.24596
Source DB: PubMed Journal: Arch Trauma Res ISSN: 2251-953X
Distribution of Traumatized Subjects According to Cause[a]
| Serial No. | Cause of Trauma | Percentage of Children |
|---|---|---|
|
| Falls | 63 (42.2) |
|
| Sports | 34 (22.81) |
|
| Unknown | 24 (16) |
|
| Accidents | 15 (10.06) |
|
| Collisions | 7 (4.69) |
|
| Violence | 3 (2.01) |
|
| Biting | 3 (2.01) |
aData are represent as No. (%).
Traumatic Dental Injuries According to Type of Trauma[a]
| Serial No. | Type (Ellis and Davey classification of fractures) | Affected Children |
|---|---|---|
|
| Type I | 102 (68.45) |
|
| Type II | 37 (24.8) |
|
| Type III | 7 (4.6) |
|
| Type IV | 1 (0.67) |
|
| Type V | 1 (0.67) |
|
| Type VIII | 1 (0.67) |
aData are represent as No. (%).
Traumatic Dental Injuries According to Tooth/Teeth Fractured[a]
| Tooth/Teeth Fractured | Involved Students |
|---|---|
|
| 91 (61.07) |
|
| 15 (10.06) |
|
| 40 (26.84) |
|
| 1 (0.67) |
|
| 1 (0.67) |
|
| 1 (0.67) |
aData are represent as No. (%).
Traumatic Dental Injuries According to Overjet, Lip Coverage, Molar Relation, Socio-Economic Status and School Type[a,b]
| Risk Factor | Examined | Affected by | Fracture | P |
|---|---|---|---|---|
|
| 0.001 | |||
| Less than 3 mm | 921 (57.6) | 33 (3.6) | ||
| ≥ 3 mm | 679 (42.4) | 116 (17.1) | ||
|
| 0.001 | |||
| Competent | 1301 (81.3) | 71 (5.45) | ||
| Incompetent | 299 (18.7) | 78 (26.08) | ||
|
| 0.001 | |||
| Class I | 1262 (78.5) | 69 (5.46) | ||
| Class II | 306 (19.1) | 80 (26.14) | ||
| Class III | 3 (2) | 0 (0) | ||
|
| ≤ 0.024 | |||
| Upper (I) | 342 (21.5) | 35 (10.2) | ||
| Upper Middle (II) | 476 (29.8) | 28 (5.9) | ||
| Middle Lower (III) | 236 (14.8) | 25 (10.6) | ||
| Lower Upper Lower (IV) | 350 (21.9) | 35 (10.2) | ||
| Lower (V) | 196 (12.2) | 26 (13.3) | ||
|
| ≤ 0.82 | |||
| Public | 844 (52.8) | 80 (9.5) | ||
| Private | 756 (47.2) | 69 (9.1) |
aData are represent as No (%).
bLevel of significance at P ≤ 0.05.
Regression Analysis of Different Variables in Relation to Traumatic Dental Injuries to Anterior Teeth[a]
| Effect | Model Fitting Criteria - 2 Log Likelihood of Reduced Model | Likelihood Ratio Tests Chi-square | Degree of Freedom | P Value |
|---|---|---|---|---|
|
| 366.6 | 0.00 | 0 | - |
|
| 367.5 | 0.84 | 1 | 0.36 |
|
| 368.9 | 2.25 | 1 | 0.13 |
|
| 375.5 | 8.89 | 4 | 0.06 |
|
| 371.1 | 4.48 | 1 | 0.03 |
|
| 383.1 | 16.50 | 2 | 0.00 |
|
| 386.7 | 20.03 | 1 | 0.00 |
|
| 370.9 | 4.25 | 2 | 0.12 |
aLevel of significance at P < 0.15.