Examining Self-Rated Oral Health and Self-Rated Oral Need among Adults Aged 55+ in Ontario
Bibliographic record
Abstract
There is a paucity of research on self-rated oral health (SROH) and self-rated oral needs (SRON) within aging populations. As such, the research objectives of this study were to assess factors associated with SROH and assess how SRON indicators correlate with SROH among Ontarian adults aged 55 years and greater. Data from the 2017-2018 Annual Component of the Canadian Community Health Survey were used. Linear regression estimated the associations between a range of biopsychosocial factors and SROH. Pearsons correlation estimated associations between SRON and SROH. Smoking, poor general health rating, and never visiting the dentist were associated with an increased likelihood of poorer SROH. Satisfaction with teeth/denture appearance was correlated with better SROH. This study is first to consider both SROH and SRON in Ontarian older adults. More research is needed to inform applied practice and policy that aim to improve services and promote oral health with aging.
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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 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.002 | 0.000 |
| 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".