What influences food choices in anorexia nervosa? Disentangling cognitive and emotional components of decision-making by translational research
Bibliographic record
Abstract
Anorexia nervosa is a serious mental illness characterized by voluntary restriction of food intake and avoidance of high-calorie food. Anxiety, highly comorbid with anorexia nervosa, appears to be a significant, yet underexplored, factor affecting core behavioural symptoms such as food restriction and compulsive physical exercise. The aims of this review are to disentangle the influence of anxiety in food decision-making in anorexia nervosa and to offer a comprehensive model connecting the mechanisms involved. The shift from food approach to avoidance seems to be a conditioned response, underpinned by an activation of salience and fear circuitry. Altered neurotransmission (dopamine, serotonin) and neuroendocrine release (leptin, ghrelin, cortisol), aberrant neural structure activation (hyperactivation of the amygdala and hypoactivation of the insula-ventral striatum circuit) and cognitive and behavioural traits shared by anxiety and anorexia nervosa (rigidity, compulsiveness) contribute to these modifications. Animal models suggest a bidirectional relationship between food restriction and anorectic-like behaviours, strengthening yet complexifying the link between anxiety and food choice in anorexia nervosa. Therapeutic strategies focusing on anxiety and the conditioned response could contribute to restore healthy food choices and dissociate food stimuli from the anxious response elicited.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".