Self‐determination theory guided oral self‐care training for adolescents—A cluster randomised controlled trial
Bibliographic record
Abstract
Quality oral self-care is a key element in maintaining oral health, which is important for students' general health, their overall well-being and learning. The cluster randomised controlled trial tested the following hypotheses: (1) self-determination theory (SDT)-guided dental education is superior to conventional dental instruction in modifying oral self-care in adolescents; (2) after the discontinued dental education, improved oral self-care is only maintained for short rather than long term and (3) multiple predictors explain variations in adolescents' oral self-care at different observation periods. The intervention group (N = 97) received three face-to-face educational sessions to facilitate adolescents' intrinsic motivation, while the control group (N = 99) had one conventional dental instruction session. Dental plaque scores (% of tooth area covered by dental plaque) indicated a lack of oral self-care. Linear multivariable models tested the following predictors of oral self-care at different observation periods: socio-demographics (sex, socio-economic status, school) and self-determination attributes (autonomy, relatedness, competence). Results indicated that from baseline to the 6-month follow-up, dental plaque scores decreased (oral self-care improved) in the intervention group but not in the control group. At the 12-month follow-up point, there were no significant differences in mean plaque scores between the study groups. Baseline plaque levels (β = 0.807), the type of dental instruction (theory guided vs. conventional) (β = 0.208), relatedness (β = 0.106) and competence (β = 0.102) were significant predictors that explained 67.6% of the variance in dental plaque scores at the 12-month follow-up point. The theory-guided education was superior to conventional verbal instruction in improving adolescent oral self-care; however, this improvement was only maintained short term. Variations in adolescent oral self-care at short- and long-term observation points were explained by baseline oral self-care levels and two SDT components: relatedness and competence.
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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 | 0.003 | 0.005 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 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".