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Record W4388378932 · doi:10.18863/pgy.1316560

Orthorexia Nervosa as a Disorder of Less Intuition and Emotion Dysregulation

2023· article· en· W4388378932 on OpenAlexfundno aff
Süleyman Agah Demirgül, Adrien Rigó

Bibliographic record

VenuePsikiyatride Guncel Yaklasimlar - Current Approaches in Psychiatry · 2023
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsnot available
FundersSocial Sciences and Humanities Research Council of Canada
KeywordsBulimia nervosaAnorexia nervosaEating disordersPsychologyTurkishDisordered eatingClinical psychologyEmotional dysregulationIntuitionContext (archaeology)RealmDevelopmental psychology

Abstract

fetched live from OpenAlex

Emotion regulation difficulties are a significant concern in the realm of eating disorders, serving as either contributing factors or ongoing challenges. While extensive research has explored these issues within prominent eating disorders like anorexia (AN) and bulimia nervosa (BN), there is a noticeable gap when it comes to understanding emotion regulation difficulties (ERD) and intuitive eating (IE) characteristics in the context of orthorexia nervosa (ON). This study aims to bridge this knowledge gap by introducing a quantitative approach to investigate ERD and IE in a Turkish population affected by ON, involving 159 participants. The study's primary findings reveal that ON represents a non-adaptive eating behavior inherently marked by ERD. Notably, a significant gender difference was observed, indicating that men exhibit a higher likelihood of displaying orthorexic tendencies compared to women . Prior research has highlighted the importance of ERD and the absence of IE in the context of AN and BN. This study extends these findings to assert that these emotional factors also constitute critical criteria in the understanding and treatment of ON. Thus, clinicians should be attentive to the emotional aspects when addressing individuals affected by ON.

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 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 score0.176
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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 head0.069
GPT teacher head0.336
Teacher spread0.267 · 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

Citations2
Published2023
Admission routes1
Has abstractyes

Explore more

Same venuePsikiyatride Guncel Yaklasimlar - Current Approaches in PsychiatrySame topicEating Disorders and BehaviorsFrench-language works237,207