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Record W2094730441 · doi:10.4236/health.2012.412a214

Does food addiction distinguish a specific subgroup of overweight/obese overeating women?

2012· article· en· W2094730441 on OpenAlexaff
Marie-ève St-Louis, Sophie Turmel, Béatrice Tousignant, Louis-Philippe Marion, Francine Ferland, Nadine Blanchette-Martin, Marie‐Pierre Gagnon‐Girouard

Bibliographic record

VenueHealth · 2012
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversité Laval
Fundersnot available
KeywordsFood addictionOvereatingAddictionImpulsivityOverweightClinical psychologyPsychiatryPsychologyObesityEating disordersMedicineInternal medicine

Abstract

fetched live from OpenAlex

Neurophysiological and behavioral similarities have been evidenced between excessive food consumption leading to obesity and addiction to other substances. In accordance, food addiction was defined following the DSM-IV diagnostic criteria for substance dependence. The aim of this pilot study was to identify a subgroup of women suffering from food addiction (n = 11), and to compare them to women suffering from substance-use disorder (n = 23), and to women seeking treatment for compulsive overeating but free from food addiction (n = 12) on addiction-related characteristics (reward sensitivity, impulsivity, personality traits, depression, emotion dysregulation). We hypothesized that women with food addiction would be similar to women with substance-use disorders, and different from women with compulsive overeating without food addiction. Participants completed self-reported questionnaires assessing food addiction and other variables related to addiction. Almost half (47.8%) of women with compulsive overeating fulfilled the criteria for food addiction. Although food addiction does not account for every case of compulsive overeating, it characterizes a specific subgroup of overweight/obese women who show more severe overeating. Women with food addiction seem to be more similar to women suffering from substance-use disorders than to other women with overeating difficulties, particularly regarding impulsivity and self-directedness.

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 categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.035
Threshold uncertainty score0.999

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 science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0020.000

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 head0.028
GPT teacher head0.321
Teacher spread0.294 · 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

Citations20
Published2012
Admission routes1
Has abstractyes

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