Oral health-related beliefs among a sample of pregnant women in Southwestern Ontario: a descriptive study
Bibliographic record
Abstract
Introduction: Unfavorable beliefs about oral health and dental treatment during pregnancy can lead to the avoidance of dental care and the underutilization of dental services, adversely affecting adherence to good oral hygiene practices and, consequently, the health of the fetus. This study investigated the commonly held oral health beliefs among pregnant women in Southwestern Ontario, Canada. Methods: Participants were recruited from the Family Medicine Obstetrics Clinic in London, Ontario, Canada. Eligible participants were pregnant women aged 18 or older, excluding those unwilling to participate. Participants completed a 33-item self-administered questionnaire, including three open-ended questions about oral health beliefs and their impacts on pregnancy, which were analyzed for this study. Thematic analysis in NVivo identified key patterns, while analysis determined the most common beliefs and the degree of diversity in responses. Responses were categorized into sub-themes, and the frequency and percentage of each category were calculated. Results: = 76) believed that pregnancy influences their oral health. Many beliefs regarding oral health during pregnancy regarded infection risks. Participants held negative beliefs about the effects of antibiotics, analgesics, and dental x-rays during pregnancy. Common beliefs about the impacts of pregnancy on oral health included developing conditions, such as tooth sensitivity, caries, and gingivitis, as well as a loss of minerals to the fetus. Conclusion: This study revealed important misconceptions and concerns about oral health and dental treatment among pregnant women in Southwestern Ontario. The findings highlighted the need for enhanced oral health education for pregnant women to address these misconceptions and promote proper care during pregnancy. Healthcare providers are encouraged to focus on dispelling myths, emphasizing the safety of necessary dental treatments, and reinforcing the significance of maintaining good oral health for maternal and fetal well-being.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.004 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| 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 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".