FREQUENCY AND DETERMINANTS OF DENTAL CARIES IN LOCAL INHABITANTS OF A RURAL DISTRICT OF KHYBER PAKHTUNKHWA PAKISTAN
Bibliographic record
Abstract
Background Dental caries in one of the common dental health problem and is affecting approximately 2 billion of world population. The main objective was to assess the frequency and determinants of caries among the study population of Lower Dir District. Methods After taking ethical approval, a cross sectional study was conducted in Lower Dir District, in which a total of n=149 participants were assessed and examined for dental caries, from September 2018 to February 2019. A structured questionnaire was used to collect data regarding dental caries and its determinants. Data was analyzed by SPSS and finally results were presented in form of tables. Results The results showed that 31.54% of the study population has dental caries. Approximately, 59.73% of parents were in age range of 25 to 45 years, 16.78% had monthly income less than 15000 per month, 48.99% were illiterate, and 32.21% had normal BMI. Moreover, 69.13% knew the causes of dental caries, 54.36% parents used fluoride tooth paste, 58.39%, and 44.97% of children used toothbrush & fluoride toothpaste respectively. Furthermore, 70.47% of children had preference for sweet foods, and 54.36% had poor oral hygiene practices. Conclusions It was concluded that dental caries showed moderate to high prevalence among the studied population and showed strong relationship with monthly income, literacy level, and number of children. Moreover, tooth-brushing, fluoride tooth-paste, and their frequency, acute and chronic dental problems, oral hygiene and sweet food preference showed positive association with dental caries among children and thus effective preventive, promotive and curative services were needed to reduce dental caries and its associated complications. Key Words Caries (MeSH), Literacy (MeSH), fluoride (MeSH), Toothbrush (MeSH), Oral Hygiene (MeSH)
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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".