Early childhood caries and access to dental care among children of Portuguese-speaking immigrants in the city of Toronto.
Bibliographic record
Abstract
OBJECTIVE: To determine the influence of accessibility of dental services and other factors on the development of early childhood caries (ECC) among Toronto children 48 months of age or younger with at least one Portuguese-speaking immigrant parent. METHODS: This population-based case-control study involved 52 ECC cases and 52 controls (i.e., without ECC) identified from community centres, churches and drop-in centres by a process of network sampling. Caries status (dmft/s) was assessed by clinical examination. Access to dental care and risk factors for ECC were determined through a structured interview with the Portuguese-speaking parent. RESULTS: Forty (77%) of the children with ECC but only 28 (54%) of controls had never visited a dentist. Thirty (58%) mothers of children with ECC but only 13 (25%) mothers of controls had not visited a dentist in the previous year. Bivariate analyses revealed that low family income, no family dentist, no dental insurance, breastfeeding, increased frequency of daily snacks and low parental knowledge about harmful child feeding habits were associated with ECC. Non-European-born parents and parents who had immigrated in their 20s or at an older age were 2 to 4 times more likely to have a child with ECC than European parents and those who had immigrated at a younger age. Lack of insurance, no family dentist and frequency of snacks were factors remaining in the final logistic regression model for ECC. CONCLUSIONS: The strongest predictors of ECC in this immigrant population, after adjustment for frequent snack consumption, were lack of dental care and lack of dental insurance. These findings support targeting resources to the prevention of ECC in children of new immigrants, who appear to experience barriers to accessing private dental care and who are exposed to many of the determinants of oral disease.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".