title: Inequalities in the distribution of dental caries among 12-year-old Brazilian schoolchildren.
abstract: We assessed the inequality in the distribution of dental caries and the association between indicators of socioeconomic status and caries experience in a representative sample of schoolchildren. This study followed a cross-sectional design, with a sample of 792 schoolchildren aged 12 years, representative of this age group in Santa Maria, RS, Brazil. Guardians answered questions on socioeconomic status and a dental examination provided information on the dental caries experience (DMF-T). Inequality in dental caries distribution was measured by the Gini coefficient and the Significant Caries Index (SiC). The assessment of association used Poisson regression models. Socioeconomic factors were associated with prevalence of dental caries for the whole sample and also for individuals with a high-caries level. Children from low-income households had the highest prevalence of dental caries. The Gini coefficient was 0.7 and the SiC Index 2.5. The percentage of caries prevalence was 39.3% (95% CI: 35.8%-42.8%) and the mean for DMF-T was 0.9 (± SD 1.5). Inequalities in the distribution of dental caries were observed and socioeconomic factors were found to be strong predictors of the prevalence of oral disease in children of this age group.
authors.affiliation: Department of Orthodontics and Pediatric Dentistry, University of São Paulo, São Paulo, SP, Brazil. chaiana@usp.br
authors.forename: Chaiana
authors.initials: C
authors.lastname: Piovesan
authors.forename: Fausto Medeiros
authors.initials: FM
authors.lastname: Mendes
authors.forename: José Leopoldo Ferreira
authors.initials: JL
authors.lastname: Antunes
authors.forename: Thiago Machado
authors.initials: TM
authors.lastname: Ardenghi
mesh_terms: D001938:Brazil / Q000453:epidemiology; D002648:Child; D004245:DMF Index; D003731:Dental Caries / Q000453:epidemiology*; D005260:Female; D054624:Health Status Disparities; D006801:Humans; D008297:Male; D009909:Oral Health; D015995:Prevalence; D012044:Regression Analysis; D017678:Sex Distribution; D012959:Socioeconomic Factors