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Record W2118980055 · doi:10.1002/eat.20834

Effects of acute alcohol intoxication on eating‐related urges among women with bulimia nervosa

2010· article· en· W2118980055 on OpenAlexaff
Kenneth R. Bruce, Howard Steiger, Mimi Israël, N.M.K. Ng Ying Kin, Julie Hakim, Diana Schwartz, Jodie Richardson, Sandra Mansour

Bibliographic record

VenueInternational Journal of Eating Disorders · 2010
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsMcGill UniversityDouglas Mental Health University InstituteDouglas College
Fundersnot available
KeywordsBulimia nervosaMoodBinge eatingPsychologyAlcoholFeelingPsychiatryBinge drinkingAlcohol intoxicationEating disordersAlcohol consumptionClinical psychologyMedicinePoison controlInjury preventionSocial psychologyEnvironmental health

Abstract

fetched live from OpenAlex

OBJECTIVE: To investigate the effects of acute alcohol intoxication on eating-related urges among women with bulimia nervosa (BN). METHOD: Participants included women with BN or normal-weight eating disorder NOS with regular binge/purge symptoms (N = 13), and normal-eater control women (N = 17). Tested individually, the women reported on their mood state as well as on urges to binge eat and engage in various compensatory behaviors, prior to consuming alcohol, and again at 60 and 180 min following the consumption of 1.0 ml kg(-1) alcohol. RESULTS: Both groups reported feeling less clearheaded after drinking, as well as initial subjective mood stimulation followed by subsequent mood lowering. In addition, BN participants reported reductions in their urges to binge eat, exercise compulsively, and restrict food intake following alcohol consumption-the urge to purge was not significantly affected. DISCUSSION: Among women with BN, alcohol consumption appeared to reduce select eating-related urges with concomitant reductions in attention or concentration.

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)0.000
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 score0.058
Threshold uncertainty score0.710

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
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 science0.0010.000
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 head0.006
GPT teacher head0.288
Teacher spread0.283 · 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

Citations7
Published2010
Admission routes1
Has abstractyes

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