Poor oral health‐related quality of life among pregnant women: A systematic review and meta‐analysis
Bibliographic record
Abstract
OBJECTIVES: The aim of this systematic review was to assess the impacts of oral health determinants (eg frequency of brushing < 2 day, poor life style and non-white ethnicity) and clinical oral caries indices (eg Decayed, Missing, and Filled Teeth (DMFT)) and periodontal disease) on Poor Quality of Life (PQoL) among PW. METHODS: The search strategy was restricted to publications in English before 1 December 2019 in the PsycINFO, PubMed, SciELO, Scopus and Web of Science databases. We only included oral diseases considered as public health issues with a global burden. As a result, investigations reporting the frequency of brushing, poor lifestyle behaviours, non-white ethnicity, DMFT scores and periodontal disease as an outcome were included. The two reviewers resolved any disagreements. Reviewers analysed the full texts, considering the inclusion and exclusion criteria. Also, a manual search of the reference lists was performed on all the selected studies. RESULTS: In total, 11 publications were included in the meta-analysis. Findings indicate a positive association between non-white ethnicity and PQoL among PW. Among PW, those who had non-white ethnicity were 1.43 times more likely to have PQoL (OR = 1.43, 95% CI = 1.17, 1.70). A positive association between DMFT and poor QoL among PW was also observed. Those who has suffered DMFT were 1.4 times more likely to have poor QoL (OR = 1.4, 95% CI = 1.24, 1.55). CONCLUSIONS: Results from this meta-analysis support the need for behavioural interventions for improving oral hygiene in expectant mothers. This could help to decrease periodontal conditions and improve their oral and general life quality.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.009 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| 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) | 0.001 | 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".