Toward a memory perspective on eating psychopathology: An investigation of the types of childhood and adolescence memories that are associated with eating disorder symptoms
Bibliographic record
Abstract
The cognitive mechanisms through which specific life events affect the development and maintenance of eating disorders (ED) have received limited attention in the scientific literature. The present research aims to address this gap by adopting a memory perspective to explore the type of life events associated with eating psychopathology and how these events are encoded and reconstructed as memories. Two studies (n = 208 and n = 193) were conducted to investigate the relationship between specific memories and eating disorder psychopathology. Study 1 focused on parent-related memories, while Study 2 examined childhood/adolescence memories. Results from both studies revealed that need thwarting and shame in memories were associated with eating disorder symptoms, but only when individuals drew symbolic connections between these memories and food or eating behavior. Moreover, need thwarting and shame in such memories were associated with other eating and body image outcomes, including uncontrolled eating and body esteem. These results also held after controlling for a host of known predictors of eating disorder psychopathology, such as BMI, perfectionism, or thin ideal internalization. Overall, the present findings suggest that the reprocessing of memories symbolically and idiosyncratically linked to food and eating behavior might be a fruitful clinical intervention.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".