Personality correlates of eating pathology severity and subtypes in The National Comorbidity Survey Adolescent Supplement
Bibliographic record
Abstract
OBJECTIVE: We examined how personality traits are associated with eating pathology (EP) across a range of severities and symptom subtypes. METHOD: The National Comorbidity Survey Adolescent Supplement (N = 10,148) was used to compare personality across severities (i.e., clinical Eating Disorders [EDs], subclinical disordered eating, preclinical weight concerns, or no weight/EP [no W/EP]), subclinical subtypes (i.e., Binge Eating Only, Binge-Purge, Binge-Restrict, Restrict-Purge, or no W/EP), and clinical subtypes (i.e., Anorexia Nervosa [AN]), Bulimia Nervosa [BN], Binge Eating Disorder [BED], internalizing disorders, or no ED or internalizing disorder) of EP. RESULTS: More severe EP was associated with more extreme personality trait endorsements. Impulsivity-related traits did not consistently distinguish binge eating/purging from restricting subtypes, although behavioral disinhibition differentiated adolescents with BN or BED from AN. CONCLUSION: Personality traits related to affectivity and impulsivity were more consistently associated with severity rather than subtype of EP.
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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 | 0.003 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".