RESUMEN
Dental caries is still prevalent worldwide, even with advances in preventive and curative measures. The aim was to examine clustering patterns of socioeconomic and environmental characteristics of schools and their associations with caries experience of schoolchildren. An epidemiological survey with cross-sectional design was conducted in 2014/2015 and included 5,213 students (aged 2-11 years) from 38 public schools of Carapicuíba (SP, Brazil). Primary data consisted of dental examinations performed at schools by 6 calibrated examiners to evaluate caries experience (dmf/DMFT index). Secondary data were extracted from the last official Demographic Census (2010) and School Census (2014 and 2015) to assess the socioeconomic and environmental characteristics of the territorial units and infrastructure of each school, respectively. Cluster analysis and ANOVA were applied to identify schools with similar social and environmental aspects and children's caries experience. A logistic regression model was used to ascertain the effects of cluster variables on the likelihood that participants have caries experience, controlling for the stage of dentition and sex. Two valid and reliable clusters were identified: cluster 1 ("advantaged group"), characterized by 33 schools with the highest percentages of children without caries experience and located in regions with better socioenvironmental indicators, and cluster 2 ("least advantaged group"), characterized by 5 schools with higher percentages of children with caries experience, lower percentages of households with sanitary sewer and water supply, higher residents/household ratio and higher percentages of families living with up to 1 minimum wage. An increase in the odds of having caries experience for each percent of houses with well water and families which live with up to 1 minimum wage was observed. By using primary and secondary data, the study draws attention to the relationship between socioeconomic and environmental indicators and caries experience, identifying least advantaged regions and helping to design strategic health plans for this target population.