Oral status indicators DMFT and FS-T: reflections on index selection

Eur J Oral Sci. 2001 Jun;109(3):155-9. doi: 10.1034/j.1600-0722.2001.00016.x.

Abstract

Oral status in a population has traditionally been described by the DMFT index (decayed, filled, and missing teeth). There seems to be contradicting and confusing evidence in the literature with regard to the usefulness of different indices. Limitations of the DMFT are recognised, and attempts have been made to develop other indices. Two indices, DMFT and FS-T (filled and sound teeth) have been selected for analysis in the present paper. The purpose of this paper is to examine the relationship between DMFT and FS-T in different populations, and to show consequences of choice of index exemplified in analytical analysis. Data stem from the Trondelag-83 and -94 studies that were follow-up studies of the Norwegian portion of the 1973 International Collaborative Study. Sunflower scatter plots and regression analyses were used to describe the variation in DMFT and FS-T in different populations. DMFT was more suitable for describing variation in populations with low levels of disease than FS-T, while FS-T was more suitable for describing variation in populations with high levels of disease. It may be concluded that both DMFT and FS-T should be presented when describing oral status in a population. However, choice of index depends first of all on the purpose of the investigation. If there are theoretical reasons to prefer one index instead of the other, the superiority of the alternative index in terms of variation must be disregarded.

MeSH terms

  • Adult
  • Age Factors
  • DMF Index*
  • Data Interpretation, Statistical
  • Dental Caries / epidemiology
  • Dental Restoration, Permanent / statistics & numerical data*
  • Educational Status
  • Female
  • Follow-Up Studies
  • Health Status
  • Humans
  • Linear Models
  • Male
  • Middle Aged
  • Norway / epidemiology
  • Oral Health
  • Sex Factors
  • Social Class
  • Statistics as Topic
  • Tooth Loss / epidemiology