Cognitive and emotional processing in brothers of individuals with anorexia nervosa: exploring familial cognitive vulnerability
Bibliographic record
Abstract
Background: Anorexia nervosa (AN) is associated with altered cognitive and emotional traits, including deficits in empathy, theory of mind (ToM), and increased alexithymia. While these traits are well-documented in affected individuals, little is known about their presence in unaffected male siblings, who share genetic and environmental risk factors. This study investigates whether male siblings of women with AN (bAN) exhibit intermediate cognitive-emotional traits compared to both their affected sisters and general population (GP) controls. Methods: We assessed 31 bAN, 31 GP, and 31 affected sisters. Participants completed self-report questionnaires (Empathy Quotient, Toronto Alexithymia Scale, Eating Disorder Examination Questionnaire) and two computerized tasks evaluating theory of mind (Story-based Empathy Task (SET), Reading the Mind in the Eyes Task). Between-group differences were assessed using non-parametric tests due to the non-normality of the data. A binary logistic regression was then conducted to evaluate whether specific socio-cognitive variables predicted group membership. Results: bAN showed significantly lower scores than the GP on measures of cognitive empathy and theory of mind, particularly Causal Inference (SET-CI; r = 0.594, p < 0.001), Emotional Attribution (SET-EA; r = 0.520, p < 0.001), and Intention Attribution (SET-IA; r = 0.463, p = 0.001). Logistic regression identified SET-CI as the strongest predictor of bAN status. Other empathy and alexithymia measures showed no significant group differences. Conclusion: These findings suggest that domain-general inferential difficulties-particularly in causal reasoning-may be associated with familial vulnerability to anorexia nervosa in male siblings. Further research is needed to clarify the role of such cognitive traits in the broader context of risk and to inform early identification and intervention strategies.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| 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".