Atypical presentation of an eating disorder in an adult female with postpartum psychosis
Bibliographic record
Abstract
Postpartum psychosis (PPP) is a rare but severe psychiatric emergency that typically emerges within the first few weeks following childbirth and is often marked by affective instability, hallucinations, and delusional thinking. While the condition has been extensively described about mood and psychotic symptoms, atypical behavioral presentations, particularly those with irregular eating behaviors, remain underrecognized. We report a unique case of a 29-year-old woman with no prior psychiatric history who developed PPP characterized by delusional food aversion. She believed certain foods were poisonous and would harm her breastfed infant, leading to extreme dietary restriction and ritualistic food behaviours. Her symptoms included auditory and visual hallucinations, and the infant required hospitalization for failure to thrive. Treatment with olanzapine and supportive care led to remission of psychotic symptoms and normalization of eating behavior. This case highlights the potential overlap between PPP and avoidant or restrictive food intake patterns driven by psychosis. Given the risks of malnutrition, impaired bonding, and delayed treatment, clinicians and families must be alert to behavioural signs that may mimic or mask eating disorders in the postpartum period. Early recognition and interdisciplinary management are critical to improving outcomes for both mother and child. Broader awareness may help prevent misdiagnosis and ensure timely intervention.
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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) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".