Serotonin Function, Personality-Trait Variations, and Childhood Abuse in Women With Bulimia-Spectrum Eating Disorders
Bibliographic record
Abstract
BACKGROUND: Across populations, findings associate impulsivity, behavioral disinhibition, or hostility with reduced central serotonin (5-hydroxytryptamine: 5-HT) activity and increased likelihood of childhood abuse. Inconsistently, findings associate compulsivity, behavioral inhibition, or anxiousness with elevated 5-HT neurotransmission. We explored relationships among measures of 5-HT system functioning, behavioral inhibition/disinhibition, and childhood abuse in women with bulimia-spectrum eating syndromes. METHOD: In 73 bulimic (body mass index [kg/m2] under 30, binge eating at least once weekly) and 50 normal-eater control women, we obtained indices of platelet paroxetine binding and 5-HT agonist (m-CPP)-stimulated neuroendocrine responses. Cluster analysis was used to classify the bulimic women according to 5-HT "profiles." Resulting groups were then compared on symptom and trait measures. RESULTS: Measures of paroxetine-binding density (Bmax) and affinity (Kd) contributed significantly (p < .001 and p < .02, respectively) to a classification of bulimic women into groups with "low density/high affinity" (N = 52) or "high density/low affinity" (N = 21) binding. The 5-HT based classification did not predict eating-symptom severity. However, the "high density" pattern was associated with increased perfectionism and compulsivity, reduced risk of childhood sexual abuse, and (to some extent) reduced probability of borderline personality disorder. DISCUSSION: In women with bulimic syndromes, serotonergic factors, personality-trait variations, and developmental typologies converge in principled fashion. Our findings corroborate (with neurobiological evidence) the concept of underregulated and overregulated subtypes within the bulimic population.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 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) | 0.001 | 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".