Cross-cultural adaptation of the Child Perceptions Questionnaire 11–14 (CPQ11–14) for the Brazilian Portuguese language
Bibliographic record
Abstract
BACKGROUND: Oral-Health-Related Quality of Life (OHRQoL) instruments are being used with increasing frequency in oral health surveys. However, these instruments are not available in all countries or all languages. The availability of cross-culturally valid, multi-lingual versions of instruments is important for epidemiological research. The Child Perceptions Questionnaire 11-14 (CPQ11-14) is an OHRQoL instrument that assesses the impact of oral conditions on the quality of life of children and adolescents. The objective of the current study was to carry out the cross-cultural adaptation of CPQ11-14 for the Brazilian Portuguese language. METHODS: After translation and cross-cultural adaptation, the CPQ 11-14 was tested on 160 11-to-14-year-old children who were clinically and radiographically examined for the presence or absence of dental caries. The children were receiving dental care at the Pediatric Dental and Orthodontic clinics of the Federal University of Minas Gerais, Brazil. To test the quality of the translation, 17 children answered the questionnaire. The internal consistency of the instrument was assessed by Cronbach's Alpha Coefficient and the test-retest reliability by Intraclass Correlation Coefficient (ICC). RESULTS: The mean CPQ11-14 score were 24.5 [standard deviation (SD) 18.27] in the group with caries and 12.89 [SD 10.95] in the group without caries. Median scores were 20 and 10 in the groups with and without caries, respectively (p < 0.001). Significant associations were identified between caries status and all CPQ domains (p < 0.05). Internal reliability was confirmed by a Cronbach's alpha coefficient of 0.86. Test-retest reliability revealed satisfactory reproducibility (ICC = 0.85). The questionnaire proved to be a valid instrument. Construct validity was satisfactory, demonstrating highly significant correlations with global indicators for the total scale and subscales. The CPQ11-14 score was able to discriminate between different oral conditions (groups without and with untreated caries). CONCLUSION: The present study demonstrated that the CPQ11-14 is applicable to children in Brazil. It has satisfactory psychometric properties, but further research is required to evaluate these properties in a population study.
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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 | 0.006 | 0.011 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".