Prevalence of Dental Caries and Dental Fluorosis in Students, 11–17 Years of Age, in Fluoridated and Non-Fluoridated Cities in Quebec
Bibliographic record
Abstract
The purpose of this study was to evaluate the difference in dental caries and fluorosis prevalence in 936 randomly selected life-long residents selected from public and private schools in Trois-Rivières (1.0 ppm F in 1987) and Sherbrooke (less than 0.1 ppm F), Que., Canada. Students, 11-17 years of age, were examined for dental caries using the National Institute for Dental Research criteria and for dental fluorosis using the Tooth Surface Index of Fluorosis. Because of an inconsistent fluoridation history in Trois-Rivières, comparisons were carried out between two age strata: students 11-14 years of age who consumed for a longer duration suboptimally fluoridated water than those in the second stratum: students 15-17 years of age. Only public school students, 15-17 years of age, from Trois-Rivières had significantly lower mean filled surface and decayed, missing, and filled tooth surface (DMFS) scores (28 and 24%, respectively) than similar students in Sherbrooke. Among private school students, differences were not found, except in the youngest age group in Sherbrooke who had significantly lower mean DMFS than similar students from Trois-Rivières. The prevalence of fluorosis was 45.6% and 58.0% in Trois-Rivières public and private schools, respectively, and 31.1% and 30.1% in Sherbrooke public and private schools, respectively. The use of fluoride tablets was significantly associated with fluorosis. This study showed that water fluoridation benefitted students from public schools and that the risk factors for dental fluorosis were the use of fluoridated water and fluoride tablets.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".