Dietary and Social Characteristics of Children with Severe Tooth Decay
Bibliographic record
Abstract
BACKGROUND AND AIMS: Dental decay remains a major public health problem in Scottish children. The aim of this study was to investigate the relationship between diet, bowel habit, social class, and body mass index (BMI) in children with severe tooth decay. CHILDREN AND METHODS: A cross sectional study of 165 children aged 3 -11 years attending Glasgow Dental Hospital for extraction of teeth under dental general anaesthesia (DGA), was undertaken. A structured questionnaire was used to obtain information from each child on diet, bowel habit, and social status of their parents. Fibre and sugar scores were calculated from the frequency of consumption of a range of relevant foods. RESULTS: The children (mean age 5.7 (SD1.8) years) had between 1 and 20 decayed, missing or filled primary teeth (dmft) with a mean dmft of 7.9 (SD 3.5). 37% ate a chocolate bar daily, and 29% regularly drank a sugary drink after brushing their teeth. An excess of children were from the most deprived parts of the city and they had the worst decay. Children with the worst decay were also significantly thinner. No relationship was found between tooth decay and bowel habit. CONCLUSIONS: In this selected group of children with poor dental health, those from deprived families were over-represented and had significantly more decay. Severe dental decay was also associated with underweight.
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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 | 0.000 | 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".