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J Am Dent Assoc, Vol 132, No 3, 295-303.
© 2001 American Dental Association |
TRENDS: COVER STORY |
Background. The authors investigated the association between socioeconomic status and the severity of dental caries in 6- and 7-year-old children who had had access to dental care throughout their lives. The children had lived since birth in Nova Scotia, Canada, a province with a universal publicly financed dental care program.
Methods. The authors selected a representative sample of first-grade children using a stratified multistage sampling method of primary schools (n = 1,614). The response rate was 78.8 percent. Two dentists were trained to diagnose dental caries using modified World Health Organization criteria. Intra-and interexaminer reliability was excellent (
Results. Only 8.4 percent of the children had visited a dental office before the age of 2 years, and 88.5 percent of the children had their first dental visit between the ages of 2 and 5 years. Children whose parents had completed a university education had a significantly lower mean number of decayed, missing and filled surfaces, or dmfs, in their primary teeth than did children whose parents had a lower education level. A Poisson regression model indicated that parents’ high education status, optimal fluoride concentration in schools’ water supplies, daily toothbrushing and dental visits for checkup were significantly associated with low dmfs scores.
Conclusion. Having access to a universal publicly financed dental insurance program since birth did not eliminate the disparities in caries experience.
Practice Implications. This analysis of a highly utilized universal dental insurance program suggests that disparities in oral health status cannot be reduced solely by providing universal access to dental care. Focused efforts by professional and governmental organizations should be directed toward understanding the socioeconomic, behavioral and community determinants of oral health disparities.
0.88). Of the children who were examined (n = 1,271), 955 were lifelong residents of Nova Scotia, Canada, and so were included in this analysis. Data were weighted and adjusted for clustering (design) effects.
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