Caries Rates Related to Approximal Caries at Ages 11-13: A 10-year Follow-up Study in Sweden

Abstract

Predicting future caries risk is a difficult but important clinical task. The aim of this study was to analyze radiographically the relationship between approximal caries (4d-7m) at ages 11-13 (baseline) and future approximal caries. We followed 534 individuals prospectively through annual bitewing radiographs from 11 to 22 years of age. Two measures were used: individual-based incidence of the first new approximal caries lesion and surface-based incidence of approximal lesions. In the group with no approximal caries lesions at baseline, the individual-based incidence was 19 first new approximal lesions/100 person-years; the corresponding value for those with 3 approximal lesions at baseline was 71. Individuals with no approximal lesions at baseline developed 3.1 new lesions/100 tooth surface-years; the corresponding value for those with 3 lesions at baseline was 7.7. The highest risk for developing new approximal lesions was within the first 2 years after baseline.

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References

Agresti A -1996-. Introduction to categorical data analysis. United Kingdom: Wiley, pp. 92-93.

Alaluusua S, Kleemola-Kujala E, Grönroos L, Evälahti M -1990-. Salivary caries-related tests as predictors of future caries increment in teenagers. A three-year longitudinal study. Oral Microbiol Immunol 5:77–81.

Disney JA, Graves RC, Stamm JW, Bohannan HM, Abernathy JR -1989-. Comparative effects of a 4-year fluoride mouthrinse program on high and low caries forming grade 1 children. Community Dent Oral Epidemiol 17:139–143.

Disney JA, Graves RC, Stamm JW, Bohannan HM, Abernathy JR, Zack DD -1992-. The University of North Carolina caries risk assessment study: further developments in caries risk prediction. Community Dent Oral Epidemiol 20:64–75.

Gröndahl HG, Andersson B, Thorstensson T -1984-. Caries increment and progression in teenagers when using a prevention-rather than restoration-oriented treatment strategy. Swed Dent J 8:237–242.

Gustafsson A, Svensson B, Edblad E, Jansson L -2000-. Progression rate of approximal carious lesions in Swedish teenagers and the correlation between caries experience and radiographic behavior. An analysis of the survival rate of approximal caries lesions. Acta Odontol Scand 58:195–200.

Hausen H, Kärkkäinen S, Seppä L -2000-. Application of the high-risk strategy to control dental caries. Community Dent Oral Epidemiol 28:26–34.

Honkala E, Nyyssönen V, Kolmakow S, Lammi S -1984-. Factors predicting caries risk in children. Scand J Dent Res 92:134–140.

Kingman A -1990-. Statistical issues in risk models for caries. In: Risk assessment in dentistry. Bader JD, editor. Chapel Hill: University of North Carolina Dental Ecology, pp. 193-200.

10.

Lith A, Gröndahl HG -1992-. Predicting development of approximal dentin lesions by means of past caries experience. Community Dent Oral Epidemiol 20:25–29.

11.

Mattiasson-Robertsson A, Twetman S -1993-. Prediction of caries incidence in schoolchildren living in a high and a low fluoride area. Community Dent Oral Epidemiol 21:365–369.

12.

Mejàre I, Källestål C, Stenlund H, Johansson H -1998-. Caries development from 11 to 22 years of age: a prospective radiographic study. Prevalence and distribution. Caries Res 32:10–16.

13.

Mejàre I, Källestål C, Stenlund H -1999-. Incidence and progression of approximal caries from 11 to 22 years of age in Sweden: a prospective radiographic study. Caries Res 33:93–100.

14.

Russel JI, Mac Farlane TW, Aitchison TC, Stephen KW, Burchell CK -1991-. Prediction of caries increment in Scottish adolescents. Community Dent Oral Epidemiol 19:74–77.

15.

Seppä L, Hausen H -1988-. Frequency of initial caries lesions as predictor of future caries increment in children. Scand J Dent Res 96:9–13.

16.

Wenzel A -1995-. Current trends in radiographic caries imaging. Oral Surg Oral Med Oral Pathol Oral Radiol Endod 80:527–539.

17.

Wilson RF, Ashley FP -1989-. Identification of caries risk in schoolchildren: salivary buffering capacity and bacterial counts, sugar intake and caries experience as predictors of 2-year and 3-year caries increment. Br Dent J 166:99–102.