Cross-Cultural Adaptation and Validation of the Greek Cypriot Montreal Children’s Hospital Feeding Scale
Bibliographic record
Abstract
INTRODUCTION: Assessing pediatric feeding disorders (PFD) is essential for a child's development to prevent severe consequences. The assessment procedures for PFD may include parents' questionnaires such as the Montreal Children's Hospital Feeding Scale (MCH-FS). The aim of this study was the cross-cultural adaptation of the MCH-FS to the Greek language. METHODS: One hundred parents of Greek Cypriot children with PFD (clinical group) and 100 parents of healthy Greek Cypriot children (control group) aged 6 months to 16 years old participated in the study and completed the MCH-FS. World Health Organization (WHO) guidelines were implemented for translation and cultural adaptation. RESULTS: The internal consistency was excellent, α = 0.85 (ICC: 0.817-0.891). Content validity was significant (S-CVI = 1) with an agreement equal to 14. A strong and significant correlation of MCH-FS was computed according to principal component analysis (14 items ranging between -0.6 and 0.7). The Kaiser-Meyer-Olkin factor analysis was equal to 0.91 with substantial correlations (Bartlett's test = 0.001, 654,804). The MCH-FS cut-off point between the two groups was 38.00 (AUC: 0.901 [95% CI: 0.859-0.942], p < 0.001; sensitivity = 0.800 and 1-specificity = 0.630). A statistically significant difference between the two groups was observed for the MCH-FS total score, with the clinical group scoring higher (U = 992.00, p < 0.001). Likewise, the same differences were observed among children with different PFD, H (3) = 96.715, p < 0.001. CONCLUSION: The MCH-FS had good psychometric properties in its current form in Greek. It is suggested that the MCH-FS can be used as a valid tool for children with PFD in the Greek Cypriot population.
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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 | 0.004 | 0.007 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".