Alexithymia and Body Weight in Obese Patients
Bibliographic record
Abstract
The authors evaluated severely obese patients to determine whether being far different in body shape from the accepted standard may cause obese people to develop alexithymic personality traits. They evaluated the food- and weight-related attitudes in obesity surgery patients and in long-term follow-up of those who had previously had biliopancreatic diversion (BPD) for obesity. One quarter of the obese patients had alexithymic characteristics without any modification following stable weight loss, a rate of alexithymia similar to that observed in the nonclinical population. Furthermore, the frequency of alexithymia and the patients' scores on the Toronto Alexithymia Scale were similar in obese and post-BPD individuals. The authors concluded that being obese by itself does not influence the presence of alexithymic personality traits. However, they suggest that the improvement in food-related and weight-related attitudes following stable weight loss may be different in alexithymic and in nonalexithymic obese patients.
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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 | 0.000 |
| 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".