Features associated with excessive exercise in women with eating disorders
Bibliographic record
Abstract
OBJECTIVE: Excessive exercise and motor restlessness are observed in a substantial number of patients with eating disorders. This trait has been studied extensively among animal models of activity anorexia nervosa (AN) and may hold particular interest as an endophenotype for AN. We explored features associated with excessive exercise across subtypes of eating disorders. METHOD: Participants were female probands and affected female relatives from the multi-site international Price Foundation Genetic Studies with diagnoses of AN, bulimia nervosa (BN), and both AN and BN or eating disorder not otherwise specified (ED-NOS) (N=1,857). Excessive exercise was defined based on responses to the Structured Interview for Anorexic and Bulimic Disorders (SIAB). RESULTS: Among the eating disorder diagnostic groups, excessive exercise was most common among the purging subtype of AN. Individuals who reported excessive exercise also reported lower minimum BMI, younger age at interview, higher scores on anxiety, perfectionism, and eating disorder symptom measures, more obsessions and compulsions, and greater persistence. CONCLUSION: Excessive exercise may be associated particularly with the purging subtype of AN as well as with a constellation of anxious/obsessional temperament and personality characteristics among women with eating disorders.
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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 | 0.001 | 0.001 |
| 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".