Determinants of Oral Health-Related Quality of Life in Children With Neurological Disorders: An Interdisciplinary Study
Bibliographic record
Abstract
Background: Oral health-related quality of life (OHRQoL) is often compromised in children with neurological disorders, yet limited evidence exists on the contributing clinical and socioeconomic factors. Methods: A cross-sectional study was conducted among 132 children aged 6 - 14 years attending public neurology clinics. Parents or caregivers completed the validated Parental-Caregiver Perceptions Questionnaire (P-CPQ) and provided sociodemographic and health-related data. Results: Most respondents were mothers (76.5%). High rates of bullying (78.6%) and dental caries (71%) were reported. Common diagnoses included epilepsy (49.2%), autism spectrum disorder (ASD) (30.3%), and attention deficit hyperactivity disorder (ADHD) (26.5%). Poor OHRQoL was significantly associated with caregiver type (P = 0.046), low family income (P = 0.014), and living with relatives (P = 0.008). Functional limitations were the strongest OHRQoL domain (r = 0.780; P < 0.001). Children with cerebral palsy and oppositional defiant disorder (ODD) exhibited the worst OHRQoL (P = 0.008). Although only 6.8% used orthodontic appliances, their presence negatively impacted OHRQoL. Conclusions: Pediatric patients from lower-income families or non-parental households are at increased risk for impaired OHRQoL, especially those with cerebral palsy or ODD. Functional limitations, bullying, and untreated dental caries are key targets for clinical intervention in this vulnerable population.
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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 | 0.003 | 0.002 |
| 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 | 0.001 |
| 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".