Relationship between Mothers’ Sense of Coherence and Oral Health Status of Preschool Children
Bibliographic record
Abstract
OBJECTIVE: The aim of the present study was to investigate the relationship between mothers' sense of coherence (SOC) and oral health status in a representative sample of 5-year-old preschool children. METHODS: A cross-sectional study was conducted in Belo Horizonte (Brazil) on a sample of 546 mothers and their 5-year-old children, randomly selected from preschools. Data were collected through questionnaires (mothers), the short version of Antonovsky's SOC scale (SOC-13) and clinical dental examinations (children). Simple and multiple logistic regression analyses were performed on the data. The following 8 outcome variables were selected: dental caries, filled and missing teeth, dental pulp exposure due to caries, dental root fragment, visible plaque, gingivitis and supragingival calculus. The examination was carried out by 2 trained, calibrated examiners. RESULTS: Mothers with a lower SOC were more likely to have children with decayed teeth (OR = 1.59, 95% CI = 1.01-2.29), dental pulp exposure (OR = 1.99, 95% CI = 1.06-3.77) or filled teeth (OR = 1.85, 95% CI = 1.12-3.06) regardless of the child's social class and gender. CONCLUSION: The data indicate that mothers' SOC is an important psychosocial determinant of the oral health status among preschool children.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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".