A prevalence study of traumatic dental injuries in brazilian schoolchildren

Objective: To assess the prevalence of traumatic dental injuries (TDIs) and treatment demands among elementary schoolchildren. Methods: Eight Federal District (Brazil) schools were selected, and 914 students aged 11 to 14 were examined by a single calibrated operator. Data collected included age, gender, teeth affected, causes, location, type of trauma, and treatment performed or needed. O'Brien's classification was used to identify TDIs. Quantitative analysis was applied. Results: The prevalence of TDIs was 20,24%. The most affected tooth was the maxillary right central incisor (37,1%). Most injuries were enamel fractures (1,65%), followed by enamel and dentin fractures without pulp exposure (0,31%). The mean age at the time of injury was 10,3 (± 2,2) years. Falls were the main cause (36,2%), and most accidents occurred at home (44,3%). Recurrent TDIs were reported by 34 children (18,4%). Prevalence by gender was similar, with 20,4% in boys and 20,0% in girls. Of the 185 injured children, 37 (20%) received treatment, while 148 (80%) did not. Conclusion: TDIs were prevalent among Brazilian schoolchildren, and adhesive procedures were the most required and performed treatments.

Authors

Publication Details

Journal
Revista Eletrônica Acervo Saúde
Published
2025-05-05
DOI
https://doi.org/10.25248/reas.e19573.2025
Primary Topic
Dental Trauma and Treatments
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A prevalence study of traumatic dental injuries in brazilian schoolchildren

Ana Paula Dias Ribeiro, Fernanda Cristina Pimentel Garcia, Júlio César Franco Almeida, Samantha Jéssica Lopes Sousa et al.
Revista Eletrônica Acervo Saúde
Dental Trauma and Treatments
article

A prevalence study of traumatic dental injuries in brazilian schoolchildren

Ana Paula Dias Ribeiro, Fernanda Cristina Pimentel Garcia, Júlio César Franco Almeida, Samantha Jéssica Lopes Sousa, Daniella Birnbaum Pessoa de Mello, Patrícia Ferronato Araújo, Rainier Luiz Carvalho da Silva, Rayssa Ferreira Zanatta, Liliana Vicente Melo de Lucas Rezende
article en

Abstract

Objective: To assess the prevalence of traumatic dental injuries (TDIs) and treatment demands among elementary schoolchildren. Methods: Eight Federal District (Brazil) schools were selected, and 914 students aged 11 to 14 were examined by a single calibrated operator. Data collected included age, gender, teeth affected, causes, location, type of trauma, and treatment performed or needed. O'Brien's classification was used to identify TDIs. Quantitative analysis was applied. Results: The prevalence of TDIs was 20,24%. The most affected tooth was the maxillary right central incisor (37,1%). Most injuries were enamel fractures (1,65%), followed by enamel and dentin fractures without pulp exposure (0,31%). The mean age at the time of injury was 10,3 (± 2,2) years. Falls were the main cause (36,2%), and most accidents occurred at home (44,3%). Recurrent TDIs were reported by 34 children (18,4%). Prevalence by gender was similar, with 20,4% in boys and 20,0% in girls. Of the 185 injured children, 37 (20%) received treatment, while 148 (80%) did not. Conclusion: TDIs were prevalent among Brazilian schoolchildren, and adhesive procedures were the most required and performed treatments.

Revista Eletrônica Acervo SaúdeVol. 25(5)
Coordenação de Aperfeiçoamento de Pessoal de Nível Superior, Conselho Nacional de Desenvolvimento Científico e Tecnológico
Openalex Percentile: Top 84%
Dental Trauma and Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.