Relationships between emotional disorders, personality dimensions, and binge eating disorder in French obese adolescents
Bibliographic record
Abstract
PURPOSE: Binge eating disorder (BED) is associated with higher psychopathology, including emotional and personality disorders, in the adult population, whether or not they are obese; although few data are available on adolescents, particularly among obese adolescents. OBJECTIVE: To explore the association of both emotional disorders and personality dimensions with BED in obese adolescents. METHODS: The sample consisted of 115 French adolescents enrolled at a clinical unit for the multidisciplinary care of their overweight or obesity. BED was defined using the Binge Eating Scale (BES). Emotional disorders and personality dimensions were assessed using the following tools: Beck Depression Inventory (BDI), Beck Anxiety Inventory (BAI), Junior Temperament and Character Inventory (JTCI); impulsivity was determined by the Barratt Impulsiveness Scale (BIS) and the Toronto Alexithymia Scale (TAS). Associations between emotional disorders (BDI/BAI) and personality dimensions (TAS/BIS/JTCI), considered first separately and then jointly with BED were determined with multivariate analysis. RESULTS: More severe depression (β=0.27, CI [0.06; 0.48], P=0.011), a higher level of excess weight (β=1.91, CI [0.22; 3.59], P=0.027), older age (β=1.28, CI [0.43; 2.14], P=0.003), and greater cooperativeness (β=0.36, CI [0.07; 0.66], P=0.017) were independently significantly associated with the presence of BED. CONCLUSIONS: This cross-sectional study underlines the co-occurrence of emotional and personality disorders with BED. This points out the importance of a multidisciplinary approach and the relevance of a joint diagnosis of binge eating, emotional disorders, and personality dimensions in obese adolescents, for better prevention and treatment of pediatric obesity.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 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".