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Record W1791957998 · doi:10.3148/72.1.2011.50

Disordered Eating in Women: Implications for the Obesity Pandemic

2011· review· en· W1791957998 on OpenAlexaffvenue
Christie S. Urquhart, Tanis Mihalynuk

Bibliographic record

VenueCanadian Journal of Dietetic Practice and Research · 2011
Typereview
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsAcadia University
Fundersnot available
KeywordsDisordered eatingDietingBinge eatingOverweightPerfectionism (psychology)ObesityPsychologyContext (archaeology)Emotional eatingInterpersonal communicationAffect (linguistics)Clinical psychologySociocultural evolutionEating disordersMedicineDevelopmental psychologyWeight lossEating behaviorSocial psychologyEndocrinology

Abstract

fetched live from OpenAlex

Contemporary Western society emphasizes thinness for women, and the ideal female body size has become progressively smaller over the past half century. Meanwhile, the actual female body size has increased steadily, and rates of aberrant attitudes and behaviours surrounding food and weight have risen and tend to be much more common in overweight individuals. Thus disordered eating and excess body weight may perpetuate each other's development. We have synthesized the literature concerning female body size and disordered eating within a sociocultural context. Eight cognitions and behaviours that occur in women were examined: media exposure, weight stereotypes, body dissatisfaction, dieting, "fat talk," emotional eating, perfectionism, and the "superwoman" ideal. The research literature suggests that these factors may play a role in both disordered eating and obesity. Furthermore, these factors may induce triggers, exacerbated by perfectionism and excess weight, that increase the risk of binge eating. These triggers include interpersonal discrepancies, low interpersonal esteem, depressive affect, and dietary restraint. Comprehensive interventions targeting the indicated sociocultural cognitions and behaviours, combined with healthy living education, may be the most effective strategy for reducing the prevalence of disordered eating and obesity among females.

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)0.004
metaresearch head score (Gemma)0.003
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.987
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.002
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 head0.282
GPT teacher head0.505
Teacher spread0.223 · 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 designOther design
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

Citations49
Published2011
Admission routes2
Has abstractyes

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