The Oral Health of Preschool Children of Refugee and Immigrant Families in Manitoba.
Bibliographic record
Abstract
INTRODUCTION: Children of newcomers to Canada have been identified as at moderately high risk for developing early childhood caries (ECC). The purpose of this study was to investigate the oral health of preschool children of refugee and immigrant families in Winnipeg. METHODS: Children < 72 months of age and their parent or primary caregiver were recruited through several newcomer settlement agencies, dental clinics and community programs. Parents and caregivers completed a short questionnaire with the assistance of a research team member. Children underwent a dental examination. Results of the questionnaire were combined with those of the clinical examination and subjected to statistical analysis. RESULTS: We recruited 211 children. Their mean age was 40.2 ± 15.4 months, and 54.0% were boys. Overall, 45.5% of the children had ECC and 31.8% had severe ECC (S-ECC). The mean decayed, missing and filled teeth (dmft) score was 2.2 ± 3.8 (range 0-19), while the mean decayed, missing, filled surfaces (dmfs) score was 4.8 ± 11.0 (range 0-63). Infant dental enucleation was observed in 6 children. Logistic regression analyses showed that increasing age, the presence of debris on teeth, parents believing their child has dental problems and the presence of enamel hypoplasia were significantly and independently associated with ECC and S-ECC (p ≤ 0.05). CONCLUSIONS: ECC is prevalent in children of newcomer families in Manitoba. These data will inform advocacy efforts to improve access to dental care and tailor early childhood oral health promotion and ECC prevention activities for refugees and recent immigrants.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".