Socioeconomic and clinical factors associated with traumatic dental injuries in Brazilian preschool children. 2012

Chaiana Piovesan, and Renata Saraiva Guedes, and Luciano Casagrande, and Thiago Machado Ardenghi
Department of Pediatric Dentistry, Faculdade de Odontolologia, Univ de São Paulo, Brazil. chaiana@usp.br

The aim of this paper was to assess the epidemiology of traumatic dental injury (TDI) in preschool children and its relation to socioeconomic and clinical factors. This study was carried out in Santa Maria, Brazil, during National Children's Vaccination Day, and 441 children aged 12 to 59 months were included. Data about socioeconomic status were collected through a semi-structured questionnaire administered to parents. Calibrated examiners evaluated the prevalence of TDI, overjet, and lip coverage. Data were analyzed with a Poisson regression model (PR; 95% confidence intervals). The TDI prevalence was 31.7%. The maxillary central incisors were the most frequently traumatized teeth. The most common TDI was enamel fracture. No association was found between TDI prevalence and the socioeconomic status of children. After adjustments were performed, the eldest children with an overjet > 3 mm were more likely to have TDI than their counterparts. The data indicated a high prevalence of TDI. Only overjet was a strong predictor for TDI, whereas socioeconomic factors were not associated with TDI in this age group.

UI MeSH Term Description Entries
D007223 Infant A child between 1 and 23 months of age. Infants
D008297 Male Males
D001938 Brazil A country located on the eastern coast of South America, located between Colombia and Peru, that borders the Atlantic Ocean. It is bordered on the north by Venezuela, Guyana, Suriname, and French Guiana, on the south by Uruguay, and on the west by Argentina. The capital is Brasilia.
D002675 Child, Preschool A child between the ages of 2 and 5. Children, Preschool,Preschool Child,Preschool Children
D003430 Cross-Sectional Studies Studies in which the presence or absence of disease or other health-related variables are determined in each member of the study population or in a representative sample at one particular time. This contrasts with LONGITUDINAL STUDIES which are followed over a period of time. Disease Frequency Surveys,Prevalence Studies,Analysis, Cross-Sectional,Cross Sectional Analysis,Cross-Sectional Survey,Surveys, Disease Frequency,Analyses, Cross Sectional,Analyses, Cross-Sectional,Analysis, Cross Sectional,Cross Sectional Analyses,Cross Sectional Studies,Cross Sectional Survey,Cross-Sectional Analyses,Cross-Sectional Analysis,Cross-Sectional Study,Cross-Sectional Surveys,Disease Frequency Survey,Prevalence Study,Studies, Cross-Sectional,Studies, Prevalence,Study, Cross-Sectional,Study, Prevalence,Survey, Cross-Sectional,Survey, Disease Frequency,Surveys, Cross-Sectional
D004812 Epidemiologic Methods Research techniques that focus on study designs and data gathering methods in human and animal populations. Epidemiologic Method,Epidemiological Methods,Methods, Epidemiologic,Epidemiological Method,Method, Epidemiologic,Method, Epidemiological,Methods, Epidemiological
D005260 Female Females
D006801 Humans Members of the species Homo sapiens. Homo sapiens,Man (Taxonomy),Human,Man, Modern,Modern Man
D012959 Socioeconomic Factors Social and economic factors that characterize the individual or group within the social structure. Economic and Social Factors,Social Inequalities,Social Inequality,Social and Economic Factors,Socioeconomic Characteristics,Factors, Socioeconomic,High-Income Population,Land Tenure,Standard of Living,Characteristic, Socioeconomic,Factor, Socioeconomic,High Income Population,High-Income Populations,Inequality, Social,Living Standard,Living Standards,Population, High-Income,Socioeconomic Characteristic,Socioeconomic Factor,Tenure, Land
D015588 Observer Variation The failure by the observer to measure or identify a phenomenon accurately, which results in an error. Sources for this may be due to the observer's missing an abnormality, or to faulty technique resulting in incorrect test measurement, or to misinterpretation of the data. Two varieties are inter-observer variation (the amount observers vary from one another when reporting on the same material) and intra-observer variation (the amount one observer varies between observations when reporting more than once on the same material). Bias, Observer,Interobserver Variation,Intraobserver Variation,Observer Bias,Inter-Observer Variability,Inter-Observer Variation,Interobserver Variability,Intra-Observer Variability,Intra-Observer Variation,Intraobserver Variability,Inter Observer Variability,Inter Observer Variation,Inter-Observer Variabilities,Inter-Observer Variations,Interobserver Variabilities,Interobserver Variations,Intra Observer Variability,Intra Observer Variation,Intra-Observer Variabilities,Intra-Observer Variations,Intraobserver Variabilities,Intraobserver Variations,Observer Variations,Variabilities, Inter-Observer,Variabilities, Interobserver,Variabilities, Intra-Observer,Variabilities, Intraobserver,Variability, Inter-Observer,Variability, Interobserver,Variability, Intra-Observer,Variability, Intraobserver,Variation, Inter-Observer,Variation, Interobserver,Variation, Intra-Observer,Variation, Intraobserver,Variation, Observer,Variations, Inter-Observer,Variations, Interobserver,Variations, Intra-Observer,Variations, Intraobserver,Variations, Observer

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