A structural equation model of intuitive eating with adolescents / Un modèle d’équation structurelle de l’alimentation intuitive avec des adolescents
Bibliographic record
Abstract
Introduction. - The tendency to eat by paying attention and respecting the body’s hunger and satiety cues is called intuitive eating. This eating behavior has been linked to positive health and well-being outcomes. Objective. - The purpose of this study was to test a global model linking intuitive eating with self-esteem, body esteem, media influence and including fear of negative appearance evaluation in adolescents’ boys and girls. Method. - In total, 740 adolescent high school students (51.5% girls; M age = 14, SD = 1.5) completed self-report questionnaires with measures of intuitive eating, body esteem, self-esteem, media influence and fear of negative appearance evaluation. Results. - Structural equation modeling revealed an overall excellent fit for the final four-variable model excluding the fear of negative appearance evaluation variable. Mediation analyses showed an indirect relationship between intuitive eating and body esteem via media influence, for girls but not for boys. Body esteem mediated the relationship between intuitive eating and self-esteem, and this indirect effect was stronger for girls than for boys. Conclusion. - A new model is proposed where intuitive eating is associated with self-esteem through body esteem and media influence. These findings suggest that regulating attitudes and behaviors toward food may be related to higher psychological well-being.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.010 | 0.001 |
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".