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Record W4412726717 · doi:10.3390/bs15070967

Affect, Disordered Eating Attitudes and Behaviors, and Orthorexia Nervosa Among Women: Mediation Through Intuitive Eating

2025· article· en· W4412726717 on OpenAlexaffabout
Mehri Khoshzad, Christophe Maïano, Alexandre J. S. Morin, Annie Aimé

Bibliographic record

VenueBehavioral Sciences · 2025
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsConcordia UniversityUniversité du Québec en Outaouais
Fundersnot available
KeywordsDietingPsychologyDisordered eatingAffect (linguistics)MediationEating disordersModerated mediationDevelopmental psychologyAffect regulationPsychological interventionEating behaviorClinical psychologySocial psychologyAttachment theoryMedicineObesityPsychiatryWeight loss

Abstract

fetched live from OpenAlex

Intuitive eating is an adaptive eating style that could help explain part of the relation between affect and eating behaviors. However, research in this area remains limited. The objectives of this study are twofold. First, we examine the relation between affect, disordered eating attitudes and behaviors (DEABs), and orthorexia nervosa (ON). Second, we investigate the mediating role of intuitive eating regarding these relations. A sample of 197 French-speaking Canadian women, aged from 18 to 69, participated in the study. The results showed that negative affect was related to DEABs and ON, but not positive affect. Statistically significant associations were also found between affect (negative and positive) and the four dimensions of intuitive eating. Additionally, negative relations were found between intuitive eating dimensions and most types of eating behaviors (encompassing DEABs and ON), except for dieting. Finally, our results revealed that the relations between affect (positive and negative) and most types of eating behaviors were indirect (i.e., suggesting mediation) via intuitive eating. Based on these results, it seems that interventions addressing affect regulation and eating behaviors could benefit from including a focus on intuitive eating.

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)0.001
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 score0.033
Threshold uncertainty score0.941

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.031
GPT teacher head0.375
Teacher spread0.344 · 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

Citations2
Published2025
Admission routes2
Has abstractyes

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