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Record W193052636 · doi:10.1177/070674370204700303

Psychological Treatments for Anorexia Nervosa: A Review of Published Studies and Promising New Directions

2002· review· en· W193052636 on OpenAlexaffvenue
Allan S. Kaplan

Bibliographic record

VenueThe Canadian Journal of Psychiatry · 2002
Typereview
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversity of TorontoUniversity Health Network
Fundersnot available
KeywordsAnorexia nervosaPsychotherapistPsychological interventionPsychologyRandomized controlled trialClinical psychologyClinical trialPsychiatryEating disordersMedicine

Abstract

fetched live from OpenAlex

OBJECTIVE: To review the existing literature on the psychological treatments for anorexia nervosa (AN), especially randomized clinical trials that have been published. In addition, new psychological approaches will be described. METHODS: An extensive literature review was conducted to identify the psychological treatment trials on AN that have been published over the past 3 decades. RESULTS: Fewer than 20 controlled clinical trials were identified, evaluating the effectiveness of various types of psychotherapy in AN treatment. Evidence for the effectiveness of these interventions, with the exception of family therapy for younger patients with shorter duration of illness, remains questionable. Promising new approaches include motivational enhancement therapy and psychotherapies aimed at relapse prevention. CONCLUSION: Currently, there is little empirical evidence on which to base treatment decisions regarding the psychological treatments for AN. There is a desperate need for further research in this area, especially examining relapse prevention and motivational enhancement strategies for 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: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.730
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.116
GPT teacher head0.414
Teacher spread0.298 · 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 designNot applicable
Domainnot available
GenreReview

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

Citations65
Published2002
Admission routes2
Has abstractyes

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