Oral Health Status of Schoolchildren Living in Remote Rural Andean Communities: A Cross-Sectional Study
Bibliographic record
Abstract
A BSTRACT Objective: Oral health promotion (OHP) was introduced in Peruvian primary schools in 2013, and no evaluation has been undertaken in rural areas since then. To measure OHP outcomes, this cross-sectional study aimed to assess the oral health (OH) status of schoolchildren living in a remote rural area of the Cusco region. Materials and methods: Sixty-six children were recruited in three remote rural communities and in a rural district capital. Six dimensions of OH (knowledge, attitudes, behaviors, dental plaque, dental caries, and quality of life related to OH) were measured using self-administered questionnaires and dental examinations. Wilcoxon–Mann–Whitney tests were conducted to compare outcomes between two types of settings (remote rural community and district capital). Multiple linear regression models were fit to identify which variables can explain the variance observed in the decayed, missing, and filled teeth (DMFT) index. Results: The median percentage of dental plaque in remote rural communities was 78.7+ (interquartile range [IQR] 71.5–82.8) and 78.6+ (IQR 72.7–82.2) in the district capital ( P = 0.90). The prevalence of dental caries was estimated to be 94.1+ (95+ confidence interval [CI] 71.1–>99.9) in the district capital and 98.0+ (95+ CI 88.3–>99.9) in remote rural communities ( P = 0.43). Conclusion: These results suggested that OHP interventions had not reached their full potential. Identifying different factors that influence the reported outcomes would provide a more comprehensive understanding and help to tailor OHP interventions.
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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 | 0.002 | 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 | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".