Exploring Alexithymia, Depression, and Binge Eating in Self-Reported Eating Disorders in Women
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
TOPIC: Binge eating is often a way of life for many women even if the diagnostic criteria for the tentative DSM-IV-TR diagnosis of binge eating disorder is not met. METHODS: Binge eating was conceptualized as a problem in affect regulation. Affective indices of alexithymia and depression were measure with the Toronto Alexithymia Scale (TAS), the Alexithymia-Provoked Response Questionnaire (APQR), and the Beck Depression Inventory (BDI), respectively. This study was an exploratory study of 65 subjects, 35 of whom self-reported as eating disordered and 30 as non-eating disordered. FINDINGS: Of the eating-disordered subjects, 95% scored significantly on the Eating Habits Checklist as binge eaters, 18% as anorexic, and 23% as bulimic. Significant relationships were found between alexithymia and binge eating and depression. A stepwise logistic regression found that both alexithymia and depression discriminated between women with and without binge eating at .001 and .002, respectively. CONCLUSIONS: This study found that alexithymia was more highly correlated with binge eating than with either anorexia or bulimia. In addition, a significant history of trauma and health problems for those who reported as binge eaters was reported. Implications for practice are discussed.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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 | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it