Impact of rurality on the oral health status of 6-year-old children from central Chile: the EpiMaule study.

INTRODUCTION: The aim of this study was the assessment of dental caries and the gingival status of 6-year-old children living in the Maule region, Chile's most rural region, and to determine if rurality was related to a higher prevalence of oral conditions. METHODS: A representative sample of 485 children aged 6 years was examined using WHO methods. Children were chosen from schools belonging to urban and rural districts of the region. Caries status was obtained by deft (decayed, extracted, filled teeth), DMFT (decayed, missing, filled teeth) and SiC (Significant Caries) indexes. To assess gingival health status, the oral hygiene (OHI) and the gingival index (GI) were used. Urban and rural children data were compared using student's t-test at p < 0.05. RESULTS: Overall caries prevalence was 80.62%. Rural children showed higher prevalence (p < 0.0001) than urban 6-year-olds, with 88.3% and 69.9%, respectively. The deft (decayed, extracted, filled teeth) index was 4.63 for the region, with 5.74 for rural and 3.09 for urban districts (p < 0.05). The SiC index was 10.23 for rural and 7.13 for urban children (p < 0.05). Mean OHI score was 1.44, but rural children had higher OHI: 1.49 compared with 1.37 for urban 6-year-olds (p < 0.0001). The GI of the region was 1.37, but no differences were detected between rural and urban children (p < 0.05). CONCLUSIONS: Children from the Maule region in Chile have a severely deteriorated oral health, higher than Chile's mean. Rural are significantly more affected than urban children. A special focus on rural communities when designing oral health policies is strongly suggested.

Caries risk assessment in Chilean adolescents and adults and its association with caries experience.

Cariogram is a computer program that uses an algorithm to assess caries risk. Although the use of Cariogram has recently increased, little information is available regarding its effectiveness in adults. This study aimed to determine whether caries risk from Cariogram relates to caries experience in adults. One hundred and eighty Cariogram files were completed from patients aged ten to fifty-six years (mean: 23.28 years). Seven factors from the software were included from patient records to complete the Cariogram: caries experience, diet (content and frequency), stimulated salivary flow, hygiene index, related diseases and fluoride usage. The percentages of "chances of avoiding new lesions" (caries risk) were obtained from Cariogram, and the subjects were classified into five risk groups. Results were compared for each variable with ANOVA, and a correlation between caries and Cariogram variables was calculated by Pearson's correlation coefficient. A multivariate regression model was also used. Only three patients were classified as low risk, and none were classified as very low risk. Thus, only the four upper quintiles were considered for the analysis, and the lower quintile was not considered in the study. Neither DMFT nor the number of lesions were significantly different among the Cariogram's risk categories (p > 0.05). Only diet content was significantly correlated with caries experience (p = 0.006). Caries lesions failed to correlate with any Cariogram variable (p > 0.05). Age, not sex or caries risk scores, showed a strong and positive association with DMFT (p < 0.01). Caries risk from Cariogram appears to be unrelated with caries experience or caries lesions in a high-caries adult population.

Caries risk assessment in chilean adolescents and adults and its association with caries experience

Cariogram is a computer program that uses an algorithm to assess caries risk. Although the use of Cariogram has recently increased, little information is available regarding its effectiveness in adults. This study aimed to determine whether caries risk from Cariogram relates to caries experience in adults. One hundred and eighty Cariogram files were completed from patients aged ten to fifty-six years (mean: 23.28 years). Seven factors from the software were included from patient records to complete the Cariogram: caries experience, diet (content and frequency), stimulated salivary flow, hygiene index, related diseases and fluoride usage. The percentages of "chances of avoiding new lesions" (caries risk) were obtained from Cariogram, and the subjects were classified into five risk groups. Results were compared for each variable with ANOVA, and a correlation between caries and Cariogram variables was calculated by Pearson's correlation coefficient. A multivariate regression model was also used. Only three patients were classified as low risk, and none were classified as very low risk. Thus, only the four upper quintiles were considered for the analysis, and the lower quintile was not considered in the study. Neither DMFT nor the number of lesions were significantly different among the Cariogram's risk categories (p > 0.05). Only diet content was significantly correlated with caries experience (p = 0.006). Caries lesions failed to correlate with any Cariogram variable (p > 0.05). Age, not sex or caries risk scores, showed a strong and positive association with DMFT (p < 0.01). Caries risk from Cariogram appears to be unrelated with caries experience or caries lesions in a high-caries adult population.