A theory‐guided school‐based intervention in order to improve adolescents' oral self‐care: a cluster randomized trial
Bibliographic record
Abstract
AIM: To evaluate the efficiency of social-cognitive theory-guided oral hygiene interventions in adolescents and to identify predictors of adolescents' self-care practice. DESIGN: A cluster randomized trial included 197 15- to 16-year-olds from two secondary schools. The intervention group received three face-to-face educational hands-on sessions facilitated by a dentist and adolescents worked in pairs. Individual dental plaque levels were measured at baseline, after intervention, at six and at 12 months. The structured questionnaire inquired about gender, family socio-economic status (baseline), and different social-cognitive domain variables (baseline, six, and 12 months). RESULTS: At baseline, there were no statistically significant differences in dental plaque scores between the intervention and control groups (P = 0.183). At the 6-month follow-up, the intervention group had significantly less dental plaque than the control group (P = 0.047), but the intergroup difference in dental plaque levels was not significant at the 12-month follow-up (P = 0.400). Variations in dental plaque levels at different time periods were explained by the following predictors: family's socio-economic status, social-cognitive domain variables, group affiliation, and baseline plaque levels. CONCLUSIONS: Social-cognitive theory-guided interventions improved oral self-care of adolescents in the short term. After the intervention was discontinued, the improvement in oral self-care of adolescents lasted for another 5 months.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 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 | 0.003 | 0.002 |
| Insufficient payload (model declined to judge) | 0.006 | 0.001 |
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".