Self‐reported oral health, oral hygiene habits and dental service utilization among pregnant women in United Arab Emirates
Bibliographic record
Abstract
AIM: The aim of this study was to describe self-reported oral health, oral hygiene habits and frequency of visits to a dentist among pregnant women visiting maternity hospitals in the United Arab Emirates. MATERIAL AND METHODS: A cross-sectional study was conducted, with anonymous structured questionnaires distributed to 800 pregnant women who were chosen at random from attendants of three maternity and child health centres from various geographical areas of UAE, during January-March 2010. RESULTS: The response rate was 93.7% (n = 750). Less than quarter of the participated pregnant women were in their first trimester. Almost a quarter (23.5%) of the women believed that they had periodontal problem currently, while 46.3% reported having carious teeth. More than 44% reported having dental pain, and about 40% women felt that her oral health was poor. About 60% reported having heard about the possible connection between pregnancy and the oral health. About 94% of the women were brushing their teeth at least once a day. More than half of the women (58.3%) visited the dentist during their most recent pregnancy, mostly for dental pain. CONCLUSIONS: A large proportion of the pregnant women in this study had oral health problems; however, more than 40% of those women had not visited a dentist during their pregnancy, and the majority of those utilized dental services when they had dental pain only. To provide better oral health care, more knowledge needs to be made available to the pregnant women and the medical community.
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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 | 0.001 | 0.000 |
| 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 | 0.001 |
| Open science | 0.001 | 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".