Personality traits in adolescents with eating disorder: A meta‐analytic review
Bibliographic record
Abstract
OBJECTIVE: Given the growing interest in personality traits among the young population with eating disorders (EDs) and the recognition that a better understanding of personality can facilitate clinical management, this meta-analytic study reviewed evidence concerning the relationship between personality traits and the presence of an ED during adolescence. METHOD: We conducted a systematic literature search to identify studies that examined personality traits among adolescents with an ED (anorexia nervosa, bulimia nervosa, binge-eating disorder, eating disorder not otherwise specified) and that compared these traits with a normative group without an ED. The personality traits investigated in the selected studies were organized according to the personality trait domains presented in the Diagnostic and Statistical Manual of Mental Disorders (fifth ed.). Effect sizes of the mean differences were calculated for each domain. We performed meta-regressions to assess the moderating effect of ED subtype and age on the combined effect sizes. RESULTS: Twenty-six studies met our inclusion criteria, containing a total of 63 effect sizes. Adolescents with EDs differed from the non-ED group according to traits related to negative affectivity (g = 0.78), detachment (g = 0.69), and conscientiousness (g = -0.53). The presence of an anorexia nervosa diagnosis moderated the relationship between an ED and personality traits; this diagnosis was more strongly associated with conscientious traits compared to other EDs. DISCUSSION: Our findings provide evidence that personality traits are related to EDs in adolescents. Thus, considering personality traits could lead to a better understanding of etiological and maintenance factors for EDs.
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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 | 0.009 | 0.025 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.022 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".