Anorexia nervosa, weight restoration and biological siblings: Differences and similarities in clinical characteristics
Bibliographic record
Abstract
OBJECTIVE: Anorexia nervosa (AN) is associated with clinical characteristics including eating disorder symptomatology, negative mood states, perfectionism and cognitive inflexibility. Whether these characteristics differ across illness stages, and are also present in first-degree relatives, demonstrating heritability, is unclear. The aim of this research was to compare current AN (c-AN), weight-restored AN (wr-AN), sisters of individuals with AN (AN-sis) and healthy controls (HC) on these measures. METHOD: = 20/group) completed the study. RESULTS: Eating disorder symptomatology was similar among c-AN and wr-AN groups, whereas the AN-sis did not differ from either wr-AN or HC. Anxiety was significantly higher in c-AN, wr-AN and AN-sis groups, relative to HC. Increased perfectionism was identified in the c-AN and wr-AN groups compared to AN-sis and HC on the 'concern over mistakes', 'personal standards' and 'doubt and actions' subscales of the Multidimensional Perfectionism Scale. Group differences were not apparent on cognitive flexibility. CONCLUSIONS: These findings suggest that anxiety may be a risk factor or linked to genetic susceptibility for AN, as well as specific aspects of perfectionism that relate to self-imposed standards.
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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 | 0.000 |
| 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".