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Record W1912432695 · doi:10.1002/eat.22380

Predictors of rapid relapse in bulimia nervosa

2014· article· en· W1912432695 on OpenAlexaff
Marion P. Olmsted, Danielle E. MacDonald, Traci McFarlane, Kathryn Trottier, Patricia Colton

Bibliographic record

VenueInternational Journal of Eating Disorders · 2014
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversity of TorontoToronto Metropolitan UniversityUniversity Health Network
Fundersnot available
KeywordsVomitingBulimia nervosaPsychologyPediatricsNauseaPsychiatryMedicineEating disordersInternal medicine

Abstract

fetched live from OpenAlex

OBJECTIVE: Relapse remains a significant concern in bulimia nervosa, with some patients relapsing within months of treatment completion. The purpose of the study was to identify predictors of relapse within the first 6 months following treatment. METHOD: The 116 participants were bingeing and/or vomiting ≥ 8 times per month before day hospital (DH), and had ≤ 2 episodes per month in the last month of DH and the first month after DH. Rapid relapse was defined as ≥ 8 episodes per month for 3 months starting within 6 months. RESULTS: The rate of rapid relapse was 27.6%. Patients who relapsed soon after DH had higher frequencies of bingeing and vomiting before treatment, engaged in less body avoidance before treatment and were more likely to be slow responders to treatment. Weight and shape concerns and body checking were not significant predictors. DISCUSSION: More frequent bulimic symptoms accompanied by less body avoidance may indicate an entrenchment in the illness which in turn augurs a labored and transient response to DH treatment that is difficult to sustain after intensive treatment ends.

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 score0.037
Threshold uncertainty score0.580

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 studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.012
GPT teacher head0.297
Teacher spread0.285 · 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

Citations48
Published2014
Admission routes1
Has abstractyes

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