Factors associated with toothbrushing performance among children: An observational cohort study
Bibliographic record
Abstract
BACKGROUND: Effective removal of dental plaque is essential factor for prevention of caries, gingival, and periodontal diseases in children and adults. AIM: To evaluate factors associated with improving toothbrushing performance (TB-P) among children. DESIGN: An observational cohort study analyzed all paediatric patients receiving regular examinations in a single dental clinic between 2009 and 2017 and regularly brushing their teeth with a triple-headed toothbrush (TH-TB). At every periodic follow-up, the TB-P of the child/parent was evaluated using the TB-P Skill Index (TB-PS-I); that is, did the child reach all five teeth segments within each arch and did he/she perform 10 back-and-forth stocks in each segment. When not optimal, they received instructions for improving TB-P and subsequently were asked to re-demonstrate. TB-PS-I was calculated and analyzed for correlation with other explanatory variables. RESULTS: A total of 1737 children with 7399 follow-up appointments were analyzed. Older age, female gender, higher number of follow-up appointments, and compliance with twice-daily toothbrushing significantly improved TB-P. The most typical mistakes in their performance were not reaching the canine segments and not performing enough strokes in each segment. Instructions given after imperfect TB-P significantly improved the TB-P. The magnitude of improvement, however, did not correlate with the performers' age, gender, or the number of follow-up visits. CONCLUSIONS: A significant percentage of children >8 years did not perform optimal toothbrushing even when using TH-TB.
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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 | 0.001 | 0.002 |
| Open science | 0.001 | 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".