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Record W1742723300

The genetic and neurobiological etiology of anorexia nervosa

2009· article· en· W1742723300 on OpenAlexaffvenue
Tetyana Pekar

Bibliographic record

VenueJournal of Undergraduate Life Sciences · 2009
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsAnorexia nervosaEtiologyEating disordersPsychologyPsychiatryBulimia nervosaAnxietyClinical psychologyMedicine
DOInot available

Abstract

fetched live from OpenAlex

Anorexia nervosa (AN) is a life-threatening eating disorder (ED) characterized by restrictive eating, the pursuit of thinness and an obsessive fear of being fat. The lifetime prevalence of AN is 0.3-1% with morality rates approximately 8-15%, higher than in any other mental illness. Unfortunately, treatment therapies have remained generally unsuccessful. Relapse is common, disordered eating patterns persistent in majority of the cases and as many as 20% remaining chronically ill. Despite the severity and chronicity of the disorder, the etiology of AN is largely unknown. Multiple theories have been developed outlining the biological, psychological and cultural factors contributing to AN pathogenesis. However, there is a growing consensus that understanding the predisposing genetic and neurobiological factors leading to AN is critical in order to improve treatment outcomes. The purpose of this mini-review is to summarize the current evidence pointing to alterations in serotonin (5-HT) and dopamine (DA) function in AN pathology. Disturbances in these neurotransmitter systems may explain the underlying genetic component and common psychiatric traits and comorbid disorders present in AN.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.079
Threshold uncertainty score0.301

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.036
GPT teacher head0.326
Teacher spread0.290 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations1
Published2009
Admission routes2
Has abstractyes

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