Exploring the Link Between Maternal Oral Health Literacy and Child Oral Health Behaviours
Bibliographic record
Abstract
INTRODUCTION AND AIMS: Caregiver's oral health literacy (OHL) has a multidimensional impact on child oral health outcomes. In infants and toddlers, oral health behaviours (OHB) play a crucial role in the development of early childhood caries and could be related to the caregiver's OHL. A simple OHL assessment may help identify children at risk of caries. This study aimed to investigate the association between maternal OHL and the child OHBs during the first 2 years of life. METHODS: A cross-sectional study was conducted with 398 mothers of children aged 6 to 24 months. Maternal OHL was assessed using the ThREALD-30. Maternal demographics, oral health knowledge, and child OHBs were collected through self-administered questionnaires. ThREALD-30 scores were compared using the Mann-Whitney U and Kruskal-Wallis tests. Spearman's rank correlation and gamma generalized linear models were used to identify factors associated with OHL. Binary logistic regression examined the association between maternal OHL and child OHBs. The Receiver Operating Characteristics curve determined a cut-off OHL score for severely deleterious child OHBs, and Chi-square analyses assessed the association with the cut-off. RESULTS: The mean maternal ThREALD-30 was 23.7 (SD = 5.0), showing a strong positive correlation with oral health knowledge (r = 0.81, P < .001) and associations with low education and family income (P < .001). Logistic regression showed that lower ThREALD-30 levels were associated with poor child OHBs, including nighttime feeding, sugary bottle feeding, and no oral cleaning (P < .05). ThREALD-30 score ≤21 related to severely deleterious child OHBs. CONCLUSION: Lower maternal OHL was strongly associated with poor child OHBs, with a ThREALD-30 score ≤21 indicating a high risk of caries. CLINICAL RELEVANCE: ThREALD-30 may be a useful screening tool for assessing mothers with young children at risk of early childhood caries.
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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 | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".