Risk indicators and risk predictors of dental caries in schoolchildren

Journal of Applied Oral Science

Volumn 16, Issue 6, 2008, Pages 408-413

  Da Silva Tagliaferro, Elaine Pereira ^a   Ambrosano, Gláucia Maria Bovi ^a   De Castro Meneghim, Marcelo ^a   Pereira, Antonio Carlos ^a  

^a UNIVERSITY OF CAMPINAS   (Brazil)

Author keywords

Dental caries; Prediction; Schoolchildren

Indexed keywords

EID: 58049183116     PISSN: 16787757     EISSN: 16787765     Source Type: Journal    
DOI: 10.1590/s1678-77572008000600010     Document Type: Article

References (20)

1. Beck JD, Weintraub JA, Disney JA, Graves RC, Stamm JW, Kaste LM, et al. University of North Carolina caries risk assessment study: comparisons of high risk prediction, any risk prediction, and any risk etiologic models. Community Dent Oral Epidemiol. 1992;20:313-21.
2. Beck JD. Methods of assessing risk for periodontitis and developing multifactorial models. J Periodontol. 1994;65(5 Suppl):468-78.
3. Beck JD. Risk revisited. Community Dent Oral Epidemiol. 1998;26:220-5.
4. Casanova-Rosado AJ, Medina-Solís CE, Casanova-Rosado JF, Vallejos-Sánchez AA, Maupomé G. Ávila-Burgos L. Dental caries and associated factors in Mexican schoolchildren aged 6-13 years. Acta Odontol Scand. 2005;63:245-51.
5. David J, Wang NJ, Åstrøm AN, Kuriakose S. Dental caries and associated factors in 12-year-old schoolchildren in Thiruvananthapuram, Kerala, India. Int J Paediatr Dent. 2005;15:420-8.
6. Dean HT. Classification of mottled enamel diagnosis. J Am Dent Assoc. 1934;21:1421-6.
7. Greene JC, Vermillion JR. The simplified oral hygiene index. J Am Dent Assoc. 1964;68:7-13.
8. Grindefjord M. Duhllof G, Nilsson B, Modeer T Prediction of dental caries development In 1-year-old children. Caries Res. 1995;29:343-8.
9. Hausen H. Caries prediction: state of the art. Community Dent Oral Epidemiol. 1997;25:87-96.
10. Ismail A. Diagnostic levels in dental public health planning. Caries Res. 2004;38:199-203.
11. Landis JR. Koch GG. The measurement of observer agreement for categorical data. Biometrics. 1977;33:159-74.
12. Mascarenhas AK. Oral hygiene as a risk indicator of enamel and dentin caries. Community Dent Oral Epidemiol. 1998;26:331-9.
13. Powell LV. Caries prediction: a review of the literature. Community Dent Oral Epidemiol. 1998;26:361-71.
14. Rimmer PA, Pitts NB. Effects of diagnostic threshold and overlapped approximal surfaces on reported caries status. Community Dent Oral Epidemiol. 1991;19:205-12.
15. Russel AL. The differential diagnosis of fluoride and non-fluoride enamel opacities. J Public Health Dent. 1961;21:143-6.
16. SAS Institute Inc. SAS/STAT. Release 8.2. Guide for personal computers. Cary: SAS Institute; 2001.
17. Tagliaferro EPS, Pereira AC, Meneghim MC, Ambrosano GMB. Assessment of denial caries predictors in a seven-year longitudinal study. J Public Health Dent. 2006;66:169-73.
18. van Palenstein Helderman WH, Mulder J, vun't Hof MA, Truln GJ. Validation of a Swiss method of caries prediction in Dutch children. Community Dent Oral Epidemiol. 2001;29:341-5.
19. Vanobbergen J, Martens L, Lesaffre E, Bogaerts K, Declerck D. The value of a baseline caries risk assessment model in the primary dentition for the prediction of caries incidence in the permanent dentition. Caries Res. 2001;35:442-50.
20. World Health Organization. Oral Health Surveys. Basic Methods. 3rd ed. Geneva: WHO; 1987.