Vitamin D and Dental Caries in Children
Bibliographic record
Abstract
The purpose of this study was to assess the relationship between vitamin D status and dental caries in Canadian school-aged children participating in the Canadian Health Measures Survey (CHMS). The CHMS was a national cross-sectional study involving physical assessments, laboratory analysis, and interviews. Analysis was restricted to data for 1,017 children 6 to 11 y of age. Outcome variables included the presence of caries and overall total caries score (dmft/DMFT index). Levels of 25-hydroxyvitamin D (25(OH)D) were measured from serum samples obtained from participants. Bivariate analysis, logistic regression for the presence of caries, and multiple linear regression for total caries scores were used. Significance was set at P ≤ 0.05. Overall, 56.4% of children experienced caries, and the mean dmft/DMFT score was 2.47 (95% CI 2.09 to 2.84). The unadjusted odds of children with 25(OH)D levels ≥75 nmol/L having experienced caries was 0.57 (95% CI 0.39 to 0.82), while the odds for caries at the ≥50 nmol/L level was 0.56 (95% CI 0.39 to 0.89). After controlling for other covariates, backward logistic regression revealed that the presence of caries was significantly associated with 25(OH) levels <75 nmol/L and <50 nmol/L, lower household education, not brushing twice daily, and yearly visits to the dentist. Similarly, multiple linear regression revealed that total dmft/DMFT caries scores were also associated with 25(OH)D concentrations <75 nmol/L, not brushing twice daily, lower household education, and yearly visits to the dentist. Data from a cross-sectional, nationally representative sample of Canadian children suggest that there is an association between caries and lower serum vitamin D. Improving children's vitamin D status may be an additional preventive consideration to lower the risk for caries.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".