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Record W2000476153 · doi:10.1002/eat.20296

Impulsivity in women with eating disorders: Problem of response inhibition, planning, or attention?

2006· article· en· W2000476153 on OpenAlexaff
Lindsay Rosval, Howard Steiger, Kenneth R. Bruce, Mimi Israël, Jodie Richardson, Melanie Aubut

Bibliographic record

VenueInternational Journal of Eating Disorders · 2006
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsMcGill UniversityDouglas CollegeDouglas Mental Health University Institute
Fundersnot available
KeywordsImpulsivityPsychologyEating disordersBulimia nervosaAnorexia nervosaBinge eatingResponse inhibitionClinical psychologyDevelopmental psychologyPsychiatryCognition

Abstract

fetched live from OpenAlex

OBJECTIVE: Impulsivity is generally believed to be more characteristic of individuals with bulimic than with restrictive eating disorders (EDs). However, studies have not exhaustively explored the association between EDs and various component dimensions of the impulsivity construct. METHOD: We conducted a multidimensional assessment of impulsivity in 84 women with bulimia nervosa (BN), 37 with anorexia nervosa (AN: 19 restricters and 18 bingers-purgers), and 61 normal-control participants. To assess multiple components of impulsivity, participants completed a battery of self-report questionnaires and a performance test. RESULTS: Compared with normal-control participants, all ED groups showed attentional problems. However, only women suffering BN or AN-binge purge subtype showed elevations on motoric forms of impulsivity, whereas women with BN were the only group to report tendencies toward reckless behavior. CONCLUSION: These findings suggest that binge-eating behavior coincides with problems of response inhibition, whereas a risk-taking attitude may be a unique characteristic of individuals with BN.

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 machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.002
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.002
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 head0.010
GPT teacher head0.311
Teacher spread0.301 · 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 source (direct Gemma or distilled Codex), 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

Citations224
Published2006
Admission routes1
Has abstractyes

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