Association between early childhood caries and parental education and the link to the sustainable development goal 4: a scoping review
Bibliographic record
Abstract
BACKGROUND: The goal of the United Nations Sustainable Development Goal (SDG) 4 is to ensure inclusive and equitable quality education and promote lifelong learning opportunities for all. The aim of this scoping review was to map the current evidence on the association between the prevalence of early childhood caries (ECC) and parental education; and to identify possible pathways by which parental education may protect against ECC. METHODS: The two questions that guided this review were: what is the existing evidence on the association between maternal and paternal education and ECC; and what are the pathways by which parental education protects against ECC? The initial search was conducted in January 2023 in PubMed, Web of Science and Scopus. Articles published in English between January 2000 and October 2022 that reported on the association between parental education and ECC were screened, and the extracted data were compiled, summarized, and synthesized. Review papers and non-primary quantitative research papers were excluded from the full-text review. Open coding was applied to develop a conceptual framework. RESULTS: In total, 49 studies were included: 42 cross-sectional, 3 case-control and 4 cohort studies. The majority (91.8%) reported on the associations between ECC and maternal (n = 33), paternal (n = 3), and parental (n = 9) level of education, and 13 (26.7%) reported on the association between parental education and the severity of ECC. Mothers with more than primary school education (n = 3), post-secondary/college/tertiary education (n = 23), and more than 4-12 years of education (n = 12) had children with lower risk for ECC. Two studies reporting on parental education found an association between maternal but not paternal education and ECC. The review suggests that achieving the SDG 4.1 may reduce the risk of ECC. Possible pathways by which maternal education protects from ECC were feeding practices, oral hygiene practices, and the use of dental services. CONCLUSION: The study findings suggests that higher maternal educational level may reduce the risk for the consumption of cariogenic diet, poor oral hygiene practices and poor use of dental services for caries prevention. However, the association between paternal education and ECC was not consistently observed, with significant associations less frequently reported compared to maternal education. Future studies are needed to define the magnitude and modifiers of the impact of maternal education on the risk for ECC.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".