Construct validity and reliability of a French–Canadian translation of the eating in the absence of hunger questionnaire for children and adolescents
Bibliographic record
Abstract
Eating in the absence of hunger (EAH) has been associated with overweight and obesity during childhood. The gold standard to assess this behavior is a laboratory-based protocol, but a questionnaire to assess EAH more efficiently in children and adolescents has been developed and validated in English. We assessed construct validity (structural and convergent validity) and reliability (internal consistency and temporal stability) of a French translation of the EAH Questionnaire for Children and Adolescents among French–Canadian youths. We recruited participants in Montreal (Canada) aged 7–15 years old, who completed the questionnaire and provided anthropometric data. We asked participants to complete the questionnaire a second time ∼4 weeks later. The questionnaire consists of 14 questions and 3 subscales that assess EAH due to negative affect, fatigue/boredom, and external cues. We performed an exploratory factor analysis to test the factor structure and we calculated Cronbach alpha coefficients and intra-class correlations to assess internal consistency and temporal stability, respectively. We assessed associations between EAH and BMI z-score using Pearson correlations. We included 196 participants (50% girls; mean (SD) 11.9 (2.3) years old) for the first completion and 153 for the second completion. The exploratory factor analysis generated the same three subscales as the original questionnaire: negative affect (α = 0.86; ICC = 0.78), fatigue/boredom (α = 0.75; ICC = 0.70), and external cues (α = 0.68; ICC = 0.54). Participant’s BMI z-scores were positively associated with the average scores from the negative affect subscale ( r = 0.19; ρ = 0.009). Our results suggest that this questionnaire has an adequate construct validity, internal consistency, and temporal stability.
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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 | 0.007 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".