Systematic review of the effects of acute stress in binge eating disorder
Bibliographic record
Abstract
Binge eating disorder (BED) is characterized by recurrent episodes of eating an excessive amount of food over a discrete time period, while feeling a loss of control over one's eating. Although stress is one of the most commonly reported triggers of binge eating in individuals with BED, there has been little work examining the stress response specifically in individuals with the disorder. In this review, we examine what is known about how individuals with BED respond to acute stressors. A systematic literature search identified 14 relevant articles that report on the effects of experimentally induced stress on objective measures. Dependent measures that have been examined include changes in the levels of hormones such as cortisol and ghrelin, cardiovascular function, ad libitum food intake and eating rate. In this review, we describe the published findings and discuss their implications in the context of the wider literature. Overall, we found partial evidence that BED is associated with a heightened response to stress. Given the inconsistencies between studies, we suggest that reported differences between individuals with and without BED might be driven by factors that are correlated with, but not specific to, BED. We suggest that two priorities for this research area are to identify factors that modulate the stress response in individuals with BED, and to address the underrepresentation of males in this literature.
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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 | 0.013 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.004 |
| Bibliometrics | 0.008 | 0.009 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.007 | 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".