Demographic, psychiatric, and personality correlates of adults seeking treatment for disordered gambling with a comorbid binge/purge type eating disorder
Why this work is in the frame
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Bibliographic record
Abstract
Preliminary evidence suggests that binge/purge type eating disorders and gambling disorder may commonly co-occur. However, this dual-diagnosis population remains understudied. The present research examined the prevalence rates and correlates of binge/purge type eating disorders (i.e., bulimia nervosa, binge-eating disorder, and anorexia nervosa binge/purge type) among adults seeking treatment for their gambling (N = 349). In total, 11.5% of the sample (n = 40) met criteria for a binge/purge type eating disorder, most commonly bulimia nervosa (n = 33). There was a higher preponderance of binge/purge type eating disorders in women. People with a comorbid binge/purge type eating disorder reported more days gambling, gambling-related cognitive distortions, impulsivity, suicidality, and other current psychiatric comorbidities including addictive behaviours. These findings suggest that binge/purge type eating disorders in people seeking treatment for gambling may be more common than previously believed. Furthermore, the increased psychopathology among people with binge/purge type eating disorder and gambling disorder identify vulnerabilities of this dual-diagnosed population that may require clinical attention.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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