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Record W2982098585 · doi:10.1002/eat.23185

Most women with anorexia nervosa report less eating pathology on days when they are more self‐compassionate than usual

2019· article· en· W2982098585 on OpenAlexafffund
Allison C. Kelly, Jessica R. Dupasquier

Bibliographic record

VenueInternational Journal of Eating Disorders · 2019
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsUniversity of Waterloo
FundersOntario Mental Health Foundation
KeywordsSelf-compassionAnorexia nervosaPsychologyEating disordersClinical psychologyCompassionMindfulness

Abstract

fetched live from OpenAlex

OBJECTIVE: Individuals with eating disorders who have lower trait levels of self-compassion have more severe eating pathology. This study examined the extent to which levels of self-compassion fluctuate day-to-day in individuals with anorexia nervosa (AN) and whether these fluctuations contribute to their eating pathology. METHOD: For 2 weeks, 33 women with typical (75%) and atypical AN reported on their daily eating pathology and self-compassion. RESULTS: Nearly half the variance in participants' self-compassion scores occurred at the within-persons daily level. Multilevel modeling revealed that on days when participants were more self-compassionate than usual, their eating pathology was lower. However, this effect was moderated by participants' mean self-compassion level over the 2 weeks. Specifically, daily self-compassion was negatively related to eating pathology among individuals with average and higher mean self-compassion levels but was not related to eating pathology among those with lower levels. DISCUSSION: One-time self-reports of self-compassion in individuals with AN may overlook the substantial within-person variability in their self-compassion levels. For most individuals with AN, responding to distressing daily experiences with more compassion than usual should be associated with decreased eating pathology. More work is needed to understand how individuals lower in dispositional self-compassion can benefit from these upward fluctuations.

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 score0.023
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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0010.000

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 head0.015
GPT teacher head0.300
Teacher spread0.286 · 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

Citations8
Published2019
Admission routes2
Has abstractyes

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