Daily instability in body dissatisfaction in individuals with and without eating disorders
Bibliographic record
Abstract
Body dissatisfaction (BD) includes negative thoughts and feelings about one's body shape. Although typically assessed as a trait, BD has been found to fluctuate within a day. The present study examined whether daily instability in BD differs according to trait BD, eating disorder (ED) diagnosis, and engagement in maladaptive exercise. Participants with EDs (n = 166) and controls (n = 44) completed a self-report measure of trait BD and reported BD and engagement in maladaptive exercise five times daily for 14 days as part of an ecological momentary assessment protocol. BD instability was calculated as adjusted mean squared successive difference. On average across assessments, participants with EDs reported a 16% change in their BD ratings between consecutive assessments, which was significantly higher than the 12% change in controls. Trait BD was significantly inversely associated with BD instability in individuals with EDs, but not in controls. BD instability did not differ across ED diagnoses or between days with versus without maladaptive exercise. Findings suggest that BD is a dynamic state that varies within a day, especially in participants with EDs. Further research is needed to clarify whether this heightened instability in BD is a clinically relevant factor underlying ED symptoms.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".