Parental psychosocial factors and children’s oral health-related quality of life: Data from a caries prevention study with phone-based support
Bibliographic record
Abstract
BACKGROUND: Caries burden in children disproportionately affects minority and socioeconomically disadvantaged populations. Severe early childhood caries requiring general anesthesia (GA) is a significant concern, with high caries relapse rates in subsequent years. AIM: To examine associations between parental psychosocial factors, children's caries burden, and oral health-related quality of life (OHRQoL), including group differences, following a phone-based parental support intervention for children treated under GA for severe Early Childhood Caries (ECC). METHODS: Data were collected during a randomized controlled trial examining a phone-based parental support program. Parental stress was assessed using the Swedish Parenthood Stress Questionnaire (SPSQ), dental fear was measured with the Corah Dental Anxiety Scale (CDAS), and dental attitudes were evaluated using the Dental Beliefs Survey (DBS-R). Children's OHRQoL was assessed using the Parental-Caregivers Perception Questionnaire (P-CPQ) and the Family Impact Scale (FIS). The Total Observed Caries Experience index was used to calculate the child's cumulative caries burden. Unadjusted analyses were performed using t-tests, with effect sizes calculated as Cohen's d. A two-step path analysis examined how parental factors, intervention, and baseline caries influenced caries burden at a one-year follow-up, while also assessing caries burdens impact on children's well-being. RESULTS: At the one-year follow-up, the intervention group demonstrated significantly improved OHRQoL with lower mean scores on the P-CPQ and FIS compared to the control group, indicating fewer oral health issues and less impact on family life. No statistical differences were found in parental stress, dental fears, or dental beliefs between groups. Path analysis identified baseline caries and treatment group as significant predictors of caries burden, while intervention group predicted better OHRQoL outcomes. The model explained 86.2% of caries burden variance and 12.9% of OHRQoL variance. CONCLUSION: A phone-based parental support program significantly improved children's OHRQoL, even with a higher caries burden in the intervention group at the one-year follow-up. Parental stress, dental fears, and attitudes showed no differences and did not predict caries burden. Preventing early childhood caries in high-risk groups remains challenging, highlighting the importance of preventive initiatives that empower parents and foster collaboration with key stakeholders to reduce severe ECC. Registered at https://clinicaltrials.gov/ Identifier: NCT02487043.
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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) | 0.001 | 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".