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Record W2067142394 · doi:10.1002/eat.20499

Personality and eating behaviors: A case–control study of binge eating disorder

2007· article· en· W2067142394 on OpenAlexaff
Caroline Davis, Robert D. Levitan, Jacqueline Carter, Allan S. Kaplan, Caroline Reid, Claire Curtis, Karen A. Patte, James L. Kennedy

Bibliographic record

VenueInternational Journal of Eating Disorders · 2007
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsYork UniversityUniversity of TorontoCentre for Addiction and Mental HealthUniversity Health Network
Fundersnot available
KeywordsOvereatingPsychologyImpulsivityPersonalityBinge eatingBig Five personality traitsBinge-eating disorderClinical psychologyPerfectionism (psychology)AnxietyEating disordersObesityDevelopmental psychologyPsychiatryBulimia nervosaSocial psychologyMedicine

Abstract

fetched live from OpenAlex

OBJECTIVE: Questions have been raised about the validity of binge eating disorder (BED) as psycho-pathologically distinct from other forms of overeating. Our purpose was to ascertain whether BED individuals differed in important ways from nonbinging obese adults. METHOD: BED adults were recruited from the community as were weight-matched (obese) and normal-weight control (NWC) groups. All groups were equivalent for age and gender distribution, and were assessed on several personality traits and eating behaviors. RESULTS: BED individuals and obese controls did not differ on the personality traits. Both were more reward sensitive, and had greater anxiousness, impulsivity, and addictive personality traits than NWC. However, BED individuals reported significantly greater hedonic eating compared with the obese, who had higher levels than NWC. CONCLUSION: Our findings provided no evidence of a psychological identity unique to obese adults with BED although their eating behaviors are markedly hedonically driven-i.e., more responsive to factors external to physiological needs.

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)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.077
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
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 integrity0.0000.001
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 head0.020
GPT teacher head0.353
Teacher spread0.333 · 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.

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

Citations100
Published2007
Admission routes1
Has abstractyes

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