Compulsive “grazing” and addictive tendencies towards food
Bibliographic record
Abstract
Evidence suggests that palatable foods can promote an addictive process akin to drugs of abuse. To date, research in the field of food addiction has focused largely on binge eating as a symptom of this condition. The present study investigated relationships between food addiction and other patterns of overeating, such as compulsive grazing-a behaviour with high relevance to bariatric surgery outcomes. Adults between the ages of 20 and 50 years (n = 232) were recruited for the study. Participants completed questionnaires to assess various eating behaviours and related personality measures. Regression analysis employed the Yale Food Addiction Scale (YFAS) as the dependent variable. Results indicated that addictive personality traits, reward-driven eating, and compulsive grazing each contributed unique variance to the YFAS symptom score. These findings provide novel insight into the association between a grazing pattern of overeating and food addiction, and emphasize that similar to traditional addiction disorders such as alcoholism, binge consumption is not the only pattern of compulsive intake.
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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 | 0.000 | 0.001 |
| 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) | 0.002 | 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".