The Perceived Impact of Eating Pleasure on Healthy Eating: Development and Validation of a Questionnaire for the French-Speaking Québec Adult Population
Bibliographic record
Abstract
The present research aimed to develop and validate a questionnaire examining French-speaking Québec adults’ perceptions of how the various dimensions of eating pleasure influence healthy eating habits. Items were developed based on dimensions of eating pleasure, identified through a literature review. Content validity was evaluated by an expert committee, followed by a pre-test among 30 participants to assess face validity. The questionnaire was then administered twice (2–4 weeks apart) to 298 participants. Exploratory factor analysis identified a six-factor structure reflecting the multidimensional nature of eating pleasure in relation to healthy eating: (1) emotional/situational eating and reward (eight items), (2) sensory experiences (six items), (3) ideologies/interest in food (eight items), (4) autonomy, freedom, and individual preferences (seven items), (5) social experiences (five items), and (6) mindful eating (three items). The results showed an adequate internal consistency, a good test–retest reliability, and a good construct validity. Participants perceived all factors except Factor 1, “emotional/situational eating and reward”, as supporting healthy eating. Overall, these findings indicate that the questionnaire assessing the perceived impact of eating pleasure on healthy eating is a suitable instrument for use among French-speaking adults of the province of Québec, in Canada.
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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 | 0.003 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".