Characteristics of Self-Rated Oral Health among Syrian Refugee Parents in Ontario
Bibliographic record
Abstract
Background. Canada has been hosting Syrian refugees since early 2015. Almost half of the Syrian refugee population lives in Ontario, with dental health being at the top of the list of important immediate needs. The objective of the study was to evaluate self-rated oral health and its associated factors among Syrian refugee parents residing in Ontario. Methods. This was a cross-sectional study where 540 Syrian refugee parents, residing in Ontario and with at least one child less than 18 years of age, were interviewed. Information about self-rated oral health was collected based on the question “In general, how would you rate the health of your teeth and mouth?” with answers ranging from 1 representing “excellent” and 5 representing “very poor.” Multiple linear regression analysis was performed to assess the independent relationship between each of the sociodemographic-, migration-, health-, dental-related factors, and self-rated oral health. Results. The overall prevalence of poor and very poor self-rated oral health was 43.5%. The results showed that the presence of dental health insurance, private sponsorship, improved physical and mental health, and regular visits to the dentist were factors related to improved oral health. Discussion. To achieve better oral health outcomes among refugee populations, including Syrian refugees, efforts should be focused on improving dental care and dental insurance for vulnerable populations.
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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 | 0.001 | 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) | 0.001 | 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 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".