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Record W2770633976 · doi:10.1080/10640266.2017.1397421

Is abstinence really the best option? Exploring the role of exercise in the treatment and management of eating disorders

2017· article· en· W2770633976 on OpenAlexaff
Danika A. Quesnel, Maya Libben, Nelly D. Oelke, Marianne Clark, Sally Willis-Stewart, Cristina M. Caperchione

Bibliographic record

VenueEating Disorders · 2017
Typearticle
Languageen
FieldPsychology
TopicEating Disorders and Behaviors
Canadian institutionsOkanagan University CollegeUniversity of British Columbia, Okanagan CampusUniversity of British Columbia
Fundersnot available
KeywordsThematic analysisEating disordersAbstinencePsychologyPerceptionExercise prescriptionClinical psychologyPsychotherapistMedicineQualitative researchPsychiatryPhysical therapy

Abstract

fetched live from OpenAlex

Exercise prescription is suggested to help manage exercise abuse and improve overall eating disorder (ED) prognosis. This study explored emerging perceptions of ED health professionals concerning the role of exercise as a supportive treatment for EDs. Semi-structured interviews were conducted with international health professionals (n=13) with expertise in ED treatment. Verbatim transcripts were analyzed through thematic analysis. Four themes were revealed and titled 1) understanding the current state; 2) gaining perspectives; 3) barriers and benefits; 4) one size does not fit all. Within these themes, participants described the current state of exercise in ED treatment and suggested there exists a gap in research knowledge and practice. Participants also identified the implications of incorporating exercise into treatment and how an exercise protocol may be designed. Results enhance the understanding of the role of exercise in ED treatment and how it may further benefit individuals with EDs.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.234
Threshold uncertainty score1.000

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 studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
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 head0.035
GPT teacher head0.318
Teacher spread0.283 · 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

Citations44
Published2017
Admission routes1
Has abstractyes

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