Associations between intuitive eating, overall diet quality, and physical health indicators: Results of the PREDISE study
Bibliographic record
Abstract
Intuitive eating is a positive approach to eating involving high responsiveness to hunger and satiety cues. Although the association between intuitive eating and many psychological health indicators is well-documented, its associations with overall diet quality and physical health indicators are less explored. This study aimed to assess whether intuitive eating is associated with adherence to Canada's Food Guide recommendations and with physical health indicators. In the context of the PREDISE study, 1088 French-speaking Canadian adults from the Province of Québec completed a web-based survey including the Intuitive Eating Scale-2. Three web-based 24-h dietary recalls were completed and used to calculate the Canadian Healthy Eating Index (C-HEI) score, an indicator of adherence to Canada's Food Guide. Participants visited the research center to assess physical health indicators (body mass index, waist circumference, blood pressure, cholesterol, and blood glucose). Multiple linear regression analyses were performed to assess how intuitive eating is associated with diet quality and physical health indicators. The total intuitive eating score was not associated with C-HEI (B = 1.47, 95% CI: -0.10, 3.04). However, the "Body-Food Choice Congruence" subscale was positively associated with C-HEI (B = 5.60, 95% CI: 4.44, 6.76), while the "Unconditional Permission to Eat" subscale was negatively associated with C-HEI (B = -4.04, 95% CI: -5.28, -2.80). The total intuitive eating score was negatively associated with BMI in men (B = -4.83, 95% CI: -5.75, -3.91, p < 0.0001) and women (B = -5.01, 95% CI: -6.00, -4.02, p < 0.0001), with waist circumference in men (B = -3.60, 95% CI: -5.33, -1.87) and women (B = -2.20, 95% CI: -3.71, -0.70), and with HDL cholesterol only in women (B = -0.10, 95% CI: -0.17, -0.02). The associations of intuitive eating with diet quality are inconsistent, and only a few associations with physical health indicators were observed.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".