Influences of Maternal Nutrition and Lifestyle Factors on Early Childhood Oral Health: A Systematic Review of Mechanisms and Intervention Strategies
Bibliographic record
Abstract
Background: This systematic review and meta-analysis examined the impact of maternal nutrition and lifestyle factors on early childhood oral health. The review focused on the effects of maternal vitamin D levels and smoking during pregnancy on children’s dental health outcomes. Methods: A comprehensive literature search was conducted across PubMed, Scopus, and Web of Science, yielding 23 that were included for analysis. The quality of the studies was assessed using the Newcastle–Ottawa Scale. The effect estimates were pooled through a random effect model. All analyses were carried out using the R program. Results: Most studies in our systematic review showed a significant association between maternal vitamin D and smoking during pregnancy and childhood dental health outcomes. Meta-analysis revealed a significant association between maternal vitamin D levels and children’s dental health (OR = 1.30, 95% CI: 0.49 to 3.45, p < 0.001). Maternal smoking during pregnancy was strongly linked to an increased risk of childhood dental caries (OR = 0.3290, 95% CI: 0.2089–0.4491, p < 0.0001). Conclusions: These findings underscore the crucial role of maternal health behaviors in shaping children’s oral health trajectories. This study emphasizes the need for integrated public health interventions promoting healthier maternal behaviors and early preventive dental care.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".