Assessing consistency in oral health-related quality of life (OHRQoL) across gender and stability of OHRQoL over time for adolescents using Structural Equation Modeling
Bibliographic record
Abstract
BACKGROUND: The Child Perceptions Questionnaire for children aged 11-14 years (CPQ(11-14) ) was developed in Toronto as a measure of the oral health-related quality of life (OHRQoL) for children/adolescents. The short form with eight items (RSF:8) was also derived. OBJECTIVES: (i) To investigate the consistency of RSF:8 in measuring the OHRQoL between boys and girls, (ii) to investigate the measurement invariance and stability of RSF:8 in measuring OHRQoL for Hong Kong adolescents over time, and (iii) to determine the latent mean differences across gender and over time. METHODS: The instrument was administered to 542 adolescents aged 12 years and re-administered to the same group of adolescents 3 years later. Structural Equation Modeling (SEM) was used to test the measurement invariance at different levels. A series of hierarchically nested models (configural structure, factor loadings, error variances, factor variances and covariance, intercept invariance) were tested by the chi-square difference tests, and the more restricted model would be accepted if the chi-square difference test was insignificant (P > 0.05). The latent means would be estimated if intercept invariance was not accepted. The stability of OHRQoL over time was investigated by computing the stability coefficients. RESULTS: For multiple group analysis, the model with the level of invariance up to factor variances and covariance was accepted (P > 0.05). The latent mean of girls was significantly lower (indicating better OHRQoL) than boys in social well-being (SWB). For panel data analysis, the model with the level of invariance up to factor variances and covariance was accepted (P > 0.05). The latent mean of the four domains decreased significantly (indicating improved OHRQoL) for adolescents aged 12-15 years. The stability coefficients ranged from 0.14 to 0.73 which demonstrated moderate stability except functional limitation (FL) with a relatively low stability. CONCLUSION: This study indicated that RSF:8 measured OHRQoL for adolescents in Hong Kong consistently across gender. The OHRQoL in SWB for girls was better than boys. Also, the OHRQoL for adolescents was in the same factor structure with moderate stability and improved significantly over time.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.014 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.004 |
| Bibliometrics | 0.002 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".