Submitted:
12 November 2025
Posted:
14 November 2025
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Abstract
Keywords:
1. Introduction
1.1. Local Context
1.2. Rationale and Aim
1.3. Hypothesis and Research Question
2. Materials and Methods
2.1. Study Design and Ethical Approval
2.2. Study Population and Sample Selection
- Children aged 1–18 years,
- Diagnosed and treated for dental trauma during the study period, and
- Complete documentation of demographic, diagnostic, and treatment data.
2.3. Data Extraction and Calibration
2.4. Variables and Diagnostic Criteria
- Demographic variables: age, gender, and governorate of residence.
- Health status: classified as healthy or special healthcare needs (SHCN). SHCN categories followed Almonaqel’s classification [25]: neurological disorders, sensory impairments, behavioural disabilities, medical disabilities, and developmental/congenital impairments. SHCN status was confirmed through medical documentation provided by caregivers and verified by the supervising pediatric dentist.
- Behavioural assessment: rated according to the Frankl Behaviour Rating Scale (definitely negative, negative, positive, definitely positive).
- Occlusion type: assessed using Angle’s classification and primary molar relationships (flush terminal plane, distal step, mesial step).
- Caries experience: recorded as dmft/DMFT indices following WHO criteria [26].
- Previous history of trauma: yes/no, based on caregiver report and previous record review.
- Apex status: classified radiographically as open or closed, according to Gill et al. [27].
- Etiological and situational variables: time between trauma and dental visit, place of injury (home, school, street, etc.), and cause (falls, traffic accidents, collisions, fights).
- 1.
- Fracture-related injuries (enamel fracture, enamel–dentin fracture, complicated crown fracture, crown–root fracture, root fracture).
- 2.
- Luxation-related injuries (concussion, subluxation, extrusive, lateral, and intrusive luxation, avulsion).
2.5. Data Management and Quality Control
2.6. Statistical Analysis
- Chi-square tests (χ2) for categorical variable comparisons,
- Independent-samples t tests and ANOVA with Bonferroni post hoc for continuous variables, and
- Binary logistic regression to identify independent predictors of TDIs (dependent variable: injury presence = yes/no).
2.7. Methodological Considerations
3. Results
3.1. TDIs Prevalence and the Associated Risk Factors of the Sample
3.2. Caries Indices and Oral Health Correlates
3.3. Injury Characteristics and Treatment
3.4. Distribution by Age, Health Status, and Etiology
3.5. Illustrative Clinical Cases
3.6. TDI Risk Factors According to the Age Classification
3.7. TDIs’ Risk Factors According to the Number of Traumatized Teeth
4. Discussion
4.1. Overview and Key Findings
4.2. Global Comparisons
4.3. Sociopolitical and Environmental Context
4.4. Clinical Implications
4.5. Preventive and Policy Implications
- 1.
-
School-based Programs
- ○
- Introduce injury-prevention curricula that include dental first-aid education (e.g., management of avulsed teeth, proper storage media).
- ○
- Teachers and school nurses should receive annual first-responder training, supported by the Ministries of Education and Health.
- 2.
-
Parental and Community Education
- ○
- Launch nationwide awareness campaigns on dental trauma prevention and early care—via television, social media, and community centers.
- ○
- Encourage the use of mouthguards during sports activities and promote safer play environments.
- 3.
-
Health System Strengthening
- ○
- ntegrate dental trauma management protocols within emergency departments and pediatric hospitals.
- ○
- Establish a national TDI registry and reporting system to monitor incidence, guide resource allocation, and evaluate interventions.
- 4.
-
Urban and Infrastructure Planning
- ○
- Advocate for child-safe environments through collaboration between the Ministry of Housing, local municipalities, and NGOs.
- ○
- Encourage the use of shock-absorbent materials (e.g., rubberized flooring) in schools and playgrounds, replacing hard marble or stone surfaces prevalent in Damascus (Syrian) homes.
4.6. Limitations
4.7. Summary
5. Conclusions
Call to Action
- Establish a national TDI surveillance registry,
- Implement school-based first-aid and mouthguard education programs, and
- Promote safe urban design with shock-absorbent flooring in schools and playgrounds.
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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| Variable | With Injuries (n=301) | No Injuries (n=2415) | TDI Prevalence (%) | p-value |
|---|---|---|---|---|
| Gender (Male/Female) | 213/88 | 1323/1092 | 13.9/7.5 | <0.001 |
| Age group (<6/6–12/≥12) | 32/165/104 | 441/1507/467 | 6.8/8.4/18.2 | <0.001 |
| Health status (Healthy/SHCN) | 273/28 | 2169/246 | 11.8/10.2 | 0.631 |
| Frankl’s behaviour (Neg/Pos) | 104/197 | 1125/1290 | 8.1/17.6 | <0.001 |
| Previous trauma (Yes/No) | 17/284 | 53/2354 | 24.3/10.8 | <0.001 |
| Occlusion (Class I/II/III) | 212/53/6 | 1447/309/146 | 12.8/14.6/4.0 | <0.001 |
| Note: SHCN = special healthcare needs. Bold p-values indicate significant associations (p < 0.05). | ||||
| Predictor Variable | B | SE | Wald | OR (95% CI) | p-value |
|---|---|---|---|---|---|
| Gender (Male) | 0.834 | 0.137 | 37.262 | 2.30 (1.76–3.01) | <0.001 |
| Age (Increasing) | -0.570 | 0.138 | 17.064 | 0.56 (0.43–0.74) | <0.001 |
| Behaviour (Frankl) | -0.140 | 0.090 | 2.415 | 0.87 (0.73–1.04) | 0.120 |
| Previous trauma | 0.017 | 0.120 | 0.019 | 1.02 (0.80–1.29) | 0.889 |
| Angle’s classification | 0.095 | 0.059 | 2.574 | 1.10 (0.98–1.23) | 0.109 |
| Model χ2 = 62.45, p < 0.001; Nagelkerke R2 = 0.118; Hosmer–Lemeshow test p = 0.47; Overall classification accuracy = 78.2%. OR = odds ratio; CI = confidence interval. | |||||
| Index | With Injuries (Mean ± SD) | No Injuries (Mean ± SD) | Mean Difference (95% CI) | p-value |
|---|---|---|---|---|
| dmft (Primary) | 1.96 ± 2.15 | 5.92 ± 3.79 | -3.96 (-4.35, --3.57) | <0.001 |
| DMFT (Permanent) | 2.94 ± 2.33 | 5.57 ± 4.00 | -2.63 (-3.05, -2.21) | <0.001 |
| DMFT + dmft (Mixed) | 4.45 ± 2.82 | 5.51 ± 3.44 | -1.06 (-1.45, -0.67) | <0.001 |
| Variable | Permanent teeth (n = 430) | Primary teeth (n = 91) | Notes/p-value |
|---|---|---|---|
| Apex status—open | 40.1% | – | 40.1% overall open apex rate |
| Most affected teeth | #11 (36.1%), #21 (32.4%) | #51 (5.4%), #61 (5.0%) | — |
| Complicated crown fracture | 39.1% | 9.9% | Most frequent type overall |
| Avulsion | 4.9% | 25.3% | p < 0.001 (primary > permanent) |
| Healthy/Reversible pulpitis | 22.0%/29.6% | 16.4%/6.0% | — |
| Asymptomatic apical periodontitis | 32.1% | 17.9% | — |
| >one month delay | 45.3% | 45.1% | 45% delayed overall |
| Restorations | 26.1% | 1.9% | |
| Re-bonding fractured segment | 1.2% | — | |
| Traditional root canal treatment | 7.7% | 1.7% | |
| Apexogenesis | 7.8% | 0.3% | |
| Apical barrier, Regeneration | 18.3%, 2.7% | — | — |
| Note: Percentages refer to teeth within each dentition grouBold values indicate major categories. p < 0.05 is considered significant. | |||
| Variables | Age Classification | p-value | |||||
|---|---|---|---|---|---|---|---|
| <6 | 6–<12 | 12≤ | Total | ||||
| Gender | Male | N | 15 | 121 | 77 | 213 | 0.007 a |
| % of Total | 5.0% | 40.2% | 25.6% | 70.8% | |||
| Female | N | 17 | 44 | 27 | 88 | ||
| % of Total | 5.6% | 14.6% | 9.0% | 29.2% | |||
| Total | N | 32 | 165 | 104 | 301 | ||
| % of Total | 10.6% | 54.8% | 34.6% | 100.0% | |||
| Health status | Healthy | N | 22 | 157 | 94 | 273 | <0.001 a |
| % of Total | 7.3% | 52.2% | 31.2% | 90.7% | |||
| SHCN | N | 10 | 8 | 10 | 28 | ||
| % of Total | 3.3% | 2.7% | 3.3% | 9.3% | |||
| Total | N | 32 | 165 | 104 | 301 | ||
| % of Total | 10.6% | 54.8% | 34.6% | 100.0% | |||
| Previous traumatic injury | No | N | 29 | 160 | 95 | 284 | 0.094 a |
| % of Total | 9.6% | 53.2% | 31.6% | 94.4% | |||
| Yes | N | 3 | 5 | 9 | 17 | ||
| % of Total | 1.0% | 1.7% | 3.0% | 5.6% | |||
| Total | N | 32 | 165 | 104 | 301 | ||
| % of Total | 10.6% | 54.8% | 34.6% | 100.0% | |||
| Cause | Falls | N | 20 | 130 | 60 | 210 | <0.001 a |
| % of Total | 6.7% | 43.3% | 20.0% | 70.0% | |||
| Traffic accident | N | 5 | 5 | 5 | 15 | ||
| % of Total | 1.7% | 1.7% | 1.7% | 5.0% | |||
| Collisions with objects | N | 6 | 27 | 22 | 55 | ||
| % of Total | 2.0% | 9.0% | 7.3% | 18.3% | |||
| Fight | N | 1 | 2 | 17 | 20 | ||
| % of Total | 0.3% | 0.7% | 5.7% | 6.7% | |||
| Total | N | 32 | 164 | 104 | 300 | ||
| % of Total | 10.7% | 54.7% | 34.7% | 100.0% | |||
| |||||||
| variables | Number of traumatized teeth | p-value | |||
|---|---|---|---|---|---|
| N | Mean | SD | |||
| Gender | Male | 213 | 1.71 | .955 | 0.305 a |
| Female | 88 | 1.84 | 1.027 | ||
| Health status | Healthy | 273 | 1.66 | .918 | <0.001 a |
| SHCN | 28 | 2.61 | 1.133 | ||
| Place | Home | 148 | 1.74 | .897 | 0.469 b |
| Street | 46 | 1.98 | 1.483 | ||
| School | 62 | 1.65 | .812 | ||
| Sport | 19 | 1.79 | .855 | ||
| Garden | 25 | 1.64 | .700 | ||
| Total | 300 | 1.75 | .978 | ||
| Age | <6 | 32 | 2.34 | 1.234 | 0.001 b |
| 6–<12 | 165 | 1.65 | .903 | ||
| 12 ≤ | 104 | 1.73 | .947 | ||
| Total | 301 | 1.75 | .977 | ||
| Cause | Falls | 210 | 1.59 | .760 | <0.001 b |
| Traffic accident | 15 | 2.93 | 1.944 | ||
| Collision with objects | 55 | 2.04 | 1.105 | ||
| Fight | 20 | 1.80 | .894 | ||
| Total | 300 | 1.75 | .978 | ||
| |||||
| Age | Mean Difference | Std. Error | p-value a | |
|---|---|---|---|---|
| <6 | 6–<12 | .695 | .185 | .001 |
| 12 ≤ | .613 | .194 | .005 | |
| 6–<12 | 12 ≤ | -.082 | .120 | 1.000 |
| Cause | Mean Difference | Std. Error | p-value a | |
| Falls | Traffic accident | -1.343 | .248 | 0.000 |
| Collisions with objects | -.446 | .141 | 0.010 | |
| Fight | -.210 | .217 | 1.000 | |
| Traffic accident | Collisions with objects | .897 | .270 | 0.006 |
| Fight | 1.133 | .317 | 0.002 | |
| Collisions with objects | Fight | .236 | .242 | 1.000 |
| ||||
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